SlideShare une entreprise Scribd logo
1  sur  2
© DHI 
MIKE BY DHI SAAS 
New features as of October 2014 
In October 2014, we have added a set of new features to the MIKE by DHI SaaS portal and available instances. The new features 
aim to further improve the user experience by: 
 Improving performance by upgrading the standard instances 
 Providing a MIKE by DHI/GPU bundle, offering a significant performance boost for certain models 
 Providing multi-region support, such as offering instances hosted on hardware near your location 
The new features are explained in more details below. 
SAAS UPGRADE 
UPGRADE OF STANDARD INSTANCES 
The standard AWS EC2 instances (virtual PCs) provided through MIKE by DHI SaaS have been upgraded to a newer generation. 
The instances are compared in the table below. 
MIKE BY DHI SAAS PORTAL 
Name Memory Compute units Storage Architecture IO performance API name 
M1 General Purpose 
Extra Large (old) 
15.0 GB 8 (4 core x 2 unit) 1680 GB (4 * 420 GB) 64-bit High / 1000 Mbps m1.xlarge 
C3 High-CPU Double 
Extra Large (new) 
15.0 GB 28 (8 core x 3.5 
unit) 
160 GB (2 * 80 GB SSD) 64-bit High / 1000 Mbps c3.2xlarge 
Please note that in addition to the storage space indicated, the instances come with a 500 GB root drive. 
The new standard instances perform better in terms of both processing power and number of cores – being equipped with twice 
the number of cores compared to the old standard instances. CPU-demanding simulations which are correctly configured to make 
use of parallelisation will run approximately twice as fast when compared to the old standard instances – essentially cutting your 
simulation times, and thus also simulation costs, in half. 
Please note that this depends on the actual model setup and that no warranty regarding a specific speedup factor is provided. 
For certain simulation types additional performance improvements can be obtained by purchasing the ‘All Products – GPU’ bundle.
Improved MIKE by DHI 
SaaS Portal 
http://saas.dhigroup.com 
MIKE BY DHI SAAS PORTAL 
© DHI / Photo: iStock © Erie 
We offer a new product/hardware bundle. In terms of software, the licence is equivalent to ‘MIKE by DHI All Products’ package. 
The licence is bundled with an instance type (virtual PC type), which includes two NVIDIA Tesla M2050 GPUs. 
See the details of this instance type below: 
Contact us: mikebydhi@dhigroup.com 
For more information visit: www.mikebydhi.com - http://saas.dhigroup.com 
‘MIKE BY DHI ALL PRODUCTS – GPU’ BUNDLE 
Please note that the ‘MIKE by DHI All Products – GPU’ bundle is only applicable for MIKE 21 FM (2D HD) simulations and MIKE 
FLOOD using MIKE 21 FM for the surface flow simulation. 
For information about applicable model types and performance, please read the separate note ‘Important information about MIKE 
by DHI GPU on SaaS’ at http://saas.dhigroup.com. 
MULTI-REGION SUPPORT 
Until now, MIKE by DHI SaaS has offered instances hosted on 
hardware residing in the EU region (Ireland). At the time of 
initial launch of MIKE by DHI SaaS, this was the only available 
region. Since then AWS have expanded their network of 
regions and availability zones, making it possible for AWS users 
to run cloud-based solutions hosted on hardware physically 
close to their location. 
MIKE by DHI SaaS is now utilising the AWS network of regions/ 
availability zones, to offer virtual PCs hosted in the following 
regions: 
 Standard instances: US East (N. Virginia). US West (Oregon), 
US West (N. California), EU (Ireland), Asia Pacific 
(Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo) 
 All products – GPU: US East (N. Virginia), EU (Ireland) 
Using virtual PCs in a region near your location will in general 
ease the transfer of data in and out of the virtual PCs and 
reduce issues related to internet and bandwidth. 
PRICING 
The hourly price of the standard instances remains unchanged 
and are independent of the region in which your instances are 
running. The ‘All Products GPU’ bundle is priced at twice the 
price of the standard instances. Current prices are indicated on 
the MIKE by DHI SaaS Web Portal. 
DEFAULT REGION AFTER THE LAUNCH 
As the multi-region feature is now available, all users have a 
default region assigned. This is the region in which your 
instances will be launched by default. 
For new users, the choice of default region is a part of the sign-up 
process. All existing users will have ‘EU (Ireland)’ as the 
default region. If you are not located within the EU, you may 
consider an alternate choice. The default region can be 
configured in ‘My Profile’ below ‘User Details’. 
Please note that you may at all times override the default region 
by selecting a different region when launching a new virtual PC. 
Also note that the overview in ‘My Virtual PCs’ for performance 
reasons only shows virtual PCs in one region at the time. Thus, 
if you launch virtual PCs in several regions, be careful to 
maintain the overview of the regions in which you have running 
instances. You will however receive notifications for virtual PCs 
running more than 24 hours, regardless of the region(s) in 
which they are launched. 
Please refer to the step-by-step guide for further details on the 
multi-region feature. 
Name Memory Compute units Storage Architecture IO performance GPU configuration API name 
Cluster GPU Quadruple 
Extra Large 
22.5 GB 33.5 (2 x Xeon 
X5570 ) 
1680 GB (2 
* 840 GB) 
2xNVIDIA Tesla 64-bit 10 Gigabit cg1.4xlarge 
Fermi M2050

Contenu connexe

Tendances

Keynote (Phil Rogers) - The Programmers Guide to Reaching for the Cloud - by ...
Keynote (Phil Rogers) - The Programmers Guide to Reaching for the Cloud - by ...Keynote (Phil Rogers) - The Programmers Guide to Reaching for the Cloud - by ...
Keynote (Phil Rogers) - The Programmers Guide to Reaching for the Cloud - by ...AMD Developer Central
 
Fixation Prediction for 360° Video Streaming in Head-Mounted Virtual Reality
Fixation Prediction for 360° Video Streaming in Head-Mounted Virtual RealityFixation Prediction for 360° Video Streaming in Head-Mounted Virtual Reality
Fixation Prediction for 360° Video Streaming in Head-Mounted Virtual RealityWen-Chih Lo
 
MIT's experience on OpenPOWER/POWER 9 platform
MIT's experience on OpenPOWER/POWER 9 platformMIT's experience on OpenPOWER/POWER 9 platform
MIT's experience on OpenPOWER/POWER 9 platformGanesan Narayanasamy
 
Microsoft Project Olympus AI Accelerator Chassis (HGX-1)
Microsoft Project Olympus AI Accelerator Chassis (HGX-1)Microsoft Project Olympus AI Accelerator Chassis (HGX-1)
Microsoft Project Olympus AI Accelerator Chassis (HGX-1)inside-BigData.com
 
SGI: Meeting Manufacturing's Need for Production Supercomputing
SGI: Meeting Manufacturing's Need for Production SupercomputingSGI: Meeting Manufacturing's Need for Production Supercomputing
SGI: Meeting Manufacturing's Need for Production Supercomputinginside-BigData.com
 
HC-4019, "Exploiting Coarse-grained Parallelism in B+ Tree Searches on an APU...
HC-4019, "Exploiting Coarse-grained Parallelism in B+ Tree Searches on an APU...HC-4019, "Exploiting Coarse-grained Parallelism in B+ Tree Searches on an APU...
HC-4019, "Exploiting Coarse-grained Parallelism in B+ Tree Searches on an APU...AMD Developer Central
 
From Rack scale computers to Warehouse scale computers
From Rack scale computers to Warehouse scale computersFrom Rack scale computers to Warehouse scale computers
From Rack scale computers to Warehouse scale computersRyousei Takano
 
OpenCAPI-based Image Analysis Pipeline for 18 GB/s kilohertz-framerate X-ray ...
OpenCAPI-based Image Analysis Pipeline for 18 GB/s kilohertz-framerate X-ray ...OpenCAPI-based Image Analysis Pipeline for 18 GB/s kilohertz-framerate X-ray ...
OpenCAPI-based Image Analysis Pipeline for 18 GB/s kilohertz-framerate X-ray ...Ganesan Narayanasamy
 
Deep Learning on the SaturnV Cluster
Deep Learning on the SaturnV ClusterDeep Learning on the SaturnV Cluster
Deep Learning on the SaturnV Clusterinside-BigData.com
 
HPE Solutions for Challenges in AI and Big Data
HPE Solutions for Challenges in AI and Big DataHPE Solutions for Challenges in AI and Big Data
HPE Solutions for Challenges in AI and Big DataLviv Startup Club
 
OpenStack State of Fibre Channel
OpenStack State of Fibre ChannelOpenStack State of Fibre Channel
OpenStack State of Fibre Channelhemna6969
 
"Fast Deployment of Low-power Deep Learning on CEVA Vision Processors," a Pre...
"Fast Deployment of Low-power Deep Learning on CEVA Vision Processors," a Pre..."Fast Deployment of Low-power Deep Learning on CEVA Vision Processors," a Pre...
"Fast Deployment of Low-power Deep Learning on CEVA Vision Processors," a Pre...Edge AI and Vision Alliance
 
HPC Cloud: Clouds on supercomputers for HPC
HPC Cloud: Clouds on supercomputers for HPCHPC Cloud: Clouds on supercomputers for HPC
HPC Cloud: Clouds on supercomputers for HPCRyousei Takano
 
Final apu13 phil-rogers-keynote-21
Final apu13 phil-rogers-keynote-21Final apu13 phil-rogers-keynote-21
Final apu13 phil-rogers-keynote-21r Skip
 
TAU E4S ON OpenPOWER /POWER9 platform
TAU E4S ON OpenPOWER /POWER9 platformTAU E4S ON OpenPOWER /POWER9 platform
TAU E4S ON OpenPOWER /POWER9 platformGanesan Narayanasamy
 
Why hitachi virtual storage platform does so well in a mainframe environment ...
Why hitachi virtual storage platform does so well in a mainframe environment ...Why hitachi virtual storage platform does so well in a mainframe environment ...
Why hitachi virtual storage platform does so well in a mainframe environment ...Hitachi Vantara
 

Tendances (19)

Keynote (Phil Rogers) - The Programmers Guide to Reaching for the Cloud - by ...
Keynote (Phil Rogers) - The Programmers Guide to Reaching for the Cloud - by ...Keynote (Phil Rogers) - The Programmers Guide to Reaching for the Cloud - by ...
Keynote (Phil Rogers) - The Programmers Guide to Reaching for the Cloud - by ...
 
Fixation Prediction for 360° Video Streaming in Head-Mounted Virtual Reality
Fixation Prediction for 360° Video Streaming in Head-Mounted Virtual RealityFixation Prediction for 360° Video Streaming in Head-Mounted Virtual Reality
Fixation Prediction for 360° Video Streaming in Head-Mounted Virtual Reality
 
22 configuration
22 configuration22 configuration
22 configuration
 
MIT's experience on OpenPOWER/POWER 9 platform
MIT's experience on OpenPOWER/POWER 9 platformMIT's experience on OpenPOWER/POWER 9 platform
MIT's experience on OpenPOWER/POWER 9 platform
 
Microsoft Project Olympus AI Accelerator Chassis (HGX-1)
Microsoft Project Olympus AI Accelerator Chassis (HGX-1)Microsoft Project Olympus AI Accelerator Chassis (HGX-1)
Microsoft Project Olympus AI Accelerator Chassis (HGX-1)
 
SGI: Meeting Manufacturing's Need for Production Supercomputing
SGI: Meeting Manufacturing's Need for Production SupercomputingSGI: Meeting Manufacturing's Need for Production Supercomputing
SGI: Meeting Manufacturing's Need for Production Supercomputing
 
HC-4019, "Exploiting Coarse-grained Parallelism in B+ Tree Searches on an APU...
HC-4019, "Exploiting Coarse-grained Parallelism in B+ Tree Searches on an APU...HC-4019, "Exploiting Coarse-grained Parallelism in B+ Tree Searches on an APU...
HC-4019, "Exploiting Coarse-grained Parallelism in B+ Tree Searches on an APU...
 
From Rack scale computers to Warehouse scale computers
From Rack scale computers to Warehouse scale computersFrom Rack scale computers to Warehouse scale computers
From Rack scale computers to Warehouse scale computers
 
OpenCAPI-based Image Analysis Pipeline for 18 GB/s kilohertz-framerate X-ray ...
OpenCAPI-based Image Analysis Pipeline for 18 GB/s kilohertz-framerate X-ray ...OpenCAPI-based Image Analysis Pipeline for 18 GB/s kilohertz-framerate X-ray ...
OpenCAPI-based Image Analysis Pipeline for 18 GB/s kilohertz-framerate X-ray ...
 
Deep Learning on the SaturnV Cluster
Deep Learning on the SaturnV ClusterDeep Learning on the SaturnV Cluster
Deep Learning on the SaturnV Cluster
 
HPE Solutions for Challenges in AI and Big Data
HPE Solutions for Challenges in AI and Big DataHPE Solutions for Challenges in AI and Big Data
HPE Solutions for Challenges in AI and Big Data
 
OpenStack State of Fibre Channel
OpenStack State of Fibre ChannelOpenStack State of Fibre Channel
OpenStack State of Fibre Channel
 
"Fast Deployment of Low-power Deep Learning on CEVA Vision Processors," a Pre...
"Fast Deployment of Low-power Deep Learning on CEVA Vision Processors," a Pre..."Fast Deployment of Low-power Deep Learning on CEVA Vision Processors," a Pre...
"Fast Deployment of Low-power Deep Learning on CEVA Vision Processors," a Pre...
 
HPC Cloud: Clouds on supercomputers for HPC
HPC Cloud: Clouds on supercomputers for HPCHPC Cloud: Clouds on supercomputers for HPC
HPC Cloud: Clouds on supercomputers for HPC
 
POWER10 innovations for HPC
POWER10 innovations for HPCPOWER10 innovations for HPC
POWER10 innovations for HPC
 
Final apu13 phil-rogers-keynote-21
Final apu13 phil-rogers-keynote-21Final apu13 phil-rogers-keynote-21
Final apu13 phil-rogers-keynote-21
 
TAU E4S ON OpenPOWER /POWER9 platform
TAU E4S ON OpenPOWER /POWER9 platformTAU E4S ON OpenPOWER /POWER9 platform
TAU E4S ON OpenPOWER /POWER9 platform
 
Why hitachi virtual storage platform does so well in a mainframe environment ...
Why hitachi virtual storage platform does so well in a mainframe environment ...Why hitachi virtual storage platform does so well in a mainframe environment ...
Why hitachi virtual storage platform does so well in a mainframe environment ...
 
Deeplearningusingcloudpakfordata
DeeplearningusingcloudpakfordataDeeplearningusingcloudpakfordata
Deeplearningusingcloudpakfordata
 

En vedette

Directions in Urban Drainage Past Present and Future - UDG Autumn Conference ...
Directions in Urban Drainage Past Present and Future - UDG Autumn Conference ...Directions in Urban Drainage Past Present and Future - UDG Autumn Conference ...
Directions in Urban Drainage Past Present and Future - UDG Autumn Conference ...Stephen Flood
 
Slow Response Runoff Modelling and ‘Real Time’ simulations
Slow Response Runoff Modelling and ‘Real Time’ simulationsSlow Response Runoff Modelling and ‘Real Time’ simulations
Slow Response Runoff Modelling and ‘Real Time’ simulationsStephen Flood
 
Ten Years of Coupled Hydrology and Hydraulic Modelling Supporting Storm Water...
Ten Years of Coupled Hydrology and Hydraulic Modelling Supporting Storm Water...Ten Years of Coupled Hydrology and Hydraulic Modelling Supporting Storm Water...
Ten Years of Coupled Hydrology and Hydraulic Modelling Supporting Storm Water...Stephen Flood
 
DHI UK and Ireland Symposium 2015
DHI UK and Ireland Symposium 2015DHI UK and Ireland Symposium 2015
DHI UK and Ireland Symposium 2015Stephen Flood
 
Advanced Bathing Water Forecasting - Aarhus Water Case Story
Advanced Bathing Water Forecasting - Aarhus Water Case StoryAdvanced Bathing Water Forecasting - Aarhus Water Case Story
Advanced Bathing Water Forecasting - Aarhus Water Case StoryStephen Flood
 
Coupling groundwater and ecological models (MIKE-SHE & ECO Lab) - Roberta-Ser...
Coupling groundwater and ecological models (MIKE-SHE & ECO Lab) - Roberta-Ser...Coupling groundwater and ecological models (MIKE-SHE & ECO Lab) - Roberta-Ser...
Coupling groundwater and ecological models (MIKE-SHE & ECO Lab) - Roberta-Ser...Stephen Flood
 
Integrating Flood Risk Into Catchment Management - Michael Butts (DHI)
Integrating Flood Risk Into Catchment Management - Michael Butts (DHI)Integrating Flood Risk Into Catchment Management - Michael Butts (DHI)
Integrating Flood Risk Into Catchment Management - Michael Butts (DHI)Stephen Flood
 
INTERACTIVE INTELLIGENCE Expocontact11
INTERACTIVE INTELLIGENCE Expocontact11INTERACTIVE INTELLIGENCE Expocontact11
INTERACTIVE INTELLIGENCE Expocontact11expocontact
 
GreenTrac
GreenTracGreenTrac
GreenTracalfer0
 
LA CIUDAD MODERNA EN LA POÉTICA DE OLIVERIO GIRONDO
LA CIUDAD MODERNA EN LA POÉTICA DE OLIVERIO GIRONDOLA CIUDAD MODERNA EN LA POÉTICA DE OLIVERIO GIRONDO
LA CIUDAD MODERNA EN LA POÉTICA DE OLIVERIO GIRONDOAcadémica USACH, UCSH y UNAB
 
Semillas Que Germinan
Semillas Que GerminanSemillas Que Germinan
Semillas Que Germinanchucho1943
 
Edificio Oficinas de Peyber
Edificio Oficinas de PeyberEdificio Oficinas de Peyber
Edificio Oficinas de Peybergrupo Peyber
 
Michael Levin - MatrixNet Applications at Yandex
Michael Levin - MatrixNet Applications at YandexMichael Levin - MatrixNet Applications at Yandex
Michael Levin - MatrixNet Applications at YandexMachine Learning Prague
 
Persönliches Wissensmanagement mit Semantischen Technologien
Persönliches Wissensmanagement mit Semantischen TechnologienPersönliches Wissensmanagement mit Semantischen Technologien
Persönliches Wissensmanagement mit Semantischen TechnologienMax Völkel
 

En vedette (20)

Directions in Urban Drainage Past Present and Future - UDG Autumn Conference ...
Directions in Urban Drainage Past Present and Future - UDG Autumn Conference ...Directions in Urban Drainage Past Present and Future - UDG Autumn Conference ...
Directions in Urban Drainage Past Present and Future - UDG Autumn Conference ...
 
Slow Response Runoff Modelling and ‘Real Time’ simulations
Slow Response Runoff Modelling and ‘Real Time’ simulationsSlow Response Runoff Modelling and ‘Real Time’ simulations
Slow Response Runoff Modelling and ‘Real Time’ simulations
 
Ten Years of Coupled Hydrology and Hydraulic Modelling Supporting Storm Water...
Ten Years of Coupled Hydrology and Hydraulic Modelling Supporting Storm Water...Ten Years of Coupled Hydrology and Hydraulic Modelling Supporting Storm Water...
Ten Years of Coupled Hydrology and Hydraulic Modelling Supporting Storm Water...
 
DHI UK and Ireland Symposium 2015
DHI UK and Ireland Symposium 2015DHI UK and Ireland Symposium 2015
DHI UK and Ireland Symposium 2015
 
Advanced Bathing Water Forecasting - Aarhus Water Case Story
Advanced Bathing Water Forecasting - Aarhus Water Case StoryAdvanced Bathing Water Forecasting - Aarhus Water Case Story
Advanced Bathing Water Forecasting - Aarhus Water Case Story
 
Coupling groundwater and ecological models (MIKE-SHE & ECO Lab) - Roberta-Ser...
Coupling groundwater and ecological models (MIKE-SHE & ECO Lab) - Roberta-Ser...Coupling groundwater and ecological models (MIKE-SHE & ECO Lab) - Roberta-Ser...
Coupling groundwater and ecological models (MIKE-SHE & ECO Lab) - Roberta-Ser...
 
Integrating Flood Risk Into Catchment Management - Michael Butts (DHI)
Integrating Flood Risk Into Catchment Management - Michael Butts (DHI)Integrating Flood Risk Into Catchment Management - Michael Butts (DHI)
Integrating Flood Risk Into Catchment Management - Michael Butts (DHI)
 
INTERACTIVE INTELLIGENCE Expocontact11
INTERACTIVE INTELLIGENCE Expocontact11INTERACTIVE INTELLIGENCE Expocontact11
INTERACTIVE INTELLIGENCE Expocontact11
 
09 (2008)
09 (2008)09 (2008)
09 (2008)
 
English10 bestcommu
English10 bestcommuEnglish10 bestcommu
English10 bestcommu
 
GreenTrac
GreenTracGreenTrac
GreenTrac
 
LA CIUDAD MODERNA EN LA POÉTICA DE OLIVERIO GIRONDO
LA CIUDAD MODERNA EN LA POÉTICA DE OLIVERIO GIRONDOLA CIUDAD MODERNA EN LA POÉTICA DE OLIVERIO GIRONDO
LA CIUDAD MODERNA EN LA POÉTICA DE OLIVERIO GIRONDO
 
ESTUDIO DE MERCADO - PARTE III
ESTUDIO DE MERCADO - PARTE IIIESTUDIO DE MERCADO - PARTE III
ESTUDIO DE MERCADO - PARTE III
 
Mie kocok cirebon
Mie kocok cirebonMie kocok cirebon
Mie kocok cirebon
 
Semillas Que Germinan
Semillas Que GerminanSemillas Que Germinan
Semillas Que Germinan
 
Intro ch 01_a
Intro ch 01_aIntro ch 01_a
Intro ch 01_a
 
Edificio Oficinas de Peyber
Edificio Oficinas de PeyberEdificio Oficinas de Peyber
Edificio Oficinas de Peyber
 
Michael Levin - MatrixNet Applications at Yandex
Michael Levin - MatrixNet Applications at YandexMichael Levin - MatrixNet Applications at Yandex
Michael Levin - MatrixNet Applications at Yandex
 
Decor arte
Decor arteDecor arte
Decor arte
 
Persönliches Wissensmanagement mit Semantischen Technologien
Persönliches Wissensmanagement mit Semantischen TechnologienPersönliches Wissensmanagement mit Semantischen Technologien
Persönliches Wissensmanagement mit Semantischen Technologien
 

Similaire à MIKE BY DHI SAAS - New features as of October 2014

dassault-systemes-catia-application-scalability-guide
dassault-systemes-catia-application-scalability-guidedassault-systemes-catia-application-scalability-guide
dassault-systemes-catia-application-scalability-guideJason Kyungho Lee
 
PureSystems on the Public Cloud John Kaemmerer and Gerry Novan, 11th Sep 14
PureSystems on the Public Cloud John Kaemmerer and Gerry Novan, 11th Sep 14PureSystems on the Public Cloud John Kaemmerer and Gerry Novan, 11th Sep 14
PureSystems on the Public Cloud John Kaemmerer and Gerry Novan, 11th Sep 14IBM Systems UKI
 
IBM World of Watson 2016 - DB2 Analytics Accelerator on Cloud
IBM World of Watson 2016 - DB2 Analytics Accelerator on CloudIBM World of Watson 2016 - DB2 Analytics Accelerator on Cloud
IBM World of Watson 2016 - DB2 Analytics Accelerator on CloudDaniel Martin
 
IBM Power Systems - enabling cloud solutions
IBM Power Systems - enabling cloud solutionsIBM Power Systems - enabling cloud solutions
IBM Power Systems - enabling cloud solutionsDavid Spurway
 
2689 - Exploring IBM PureApplication System and IBM Workload Deployer Best Pr...
2689 - Exploring IBM PureApplication System and IBM Workload Deployer Best Pr...2689 - Exploring IBM PureApplication System and IBM Workload Deployer Best Pr...
2689 - Exploring IBM PureApplication System and IBM Workload Deployer Best Pr...Hendrik van Run
 
Deploying couchbaseserverazure cihanbiyikoglu_microsoft
Deploying couchbaseserverazure cihanbiyikoglu_microsoftDeploying couchbaseserverazure cihanbiyikoglu_microsoft
Deploying couchbaseserverazure cihanbiyikoglu_microsoftCihan Biyikoglu
 
News from re:Invent 2019
News from re:Invent 2019News from re:Invent 2019
News from re:Invent 2019Vladimir Simek
 
SPIntersection 2016 - TO THE CLOUD! USING IAAS AS A HOSTING PROVIDER FOR SHAR...
SPIntersection 2016 - TO THE CLOUD! USING IAAS AS A HOSTING PROVIDER FOR SHAR...SPIntersection 2016 - TO THE CLOUD! USING IAAS AS A HOSTING PROVIDER FOR SHAR...
SPIntersection 2016 - TO THE CLOUD! USING IAAS AS A HOSTING PROVIDER FOR SHAR...Scott Hoag
 
PureSystems on the Private Cloud, John Kaemmerer and Gerry Novan, 11th Sept 14
PureSystems on the Private Cloud, John Kaemmerer and Gerry Novan, 11th Sept 14PureSystems on the Private Cloud, John Kaemmerer and Gerry Novan, 11th Sept 14
PureSystems on the Private Cloud, John Kaemmerer and Gerry Novan, 11th Sept 14IBM Systems UKI
 
WindowsAzureIAAS
WindowsAzureIAASWindowsAzureIAAS
WindowsAzureIAASSaravanan G
 
Savio Rodrigues - Cloud Enable Your Ent App - 11th September
Savio Rodrigues - Cloud Enable Your Ent App - 11th SeptemberSavio Rodrigues - Cloud Enable Your Ent App - 11th September
Savio Rodrigues - Cloud Enable Your Ent App - 11th SeptemberIBM Systems UKI
 
Toward Scalable and Powerful CloudStack
Toward Scalable and Powerful CloudStackToward Scalable and Powerful CloudStack
Toward Scalable and Powerful CloudStackTakashi Kanai
 
AI for Intelligent Cloud and Intelligent Edge: Discover, Deploy, and Manage w...
AI for Intelligent Cloud and Intelligent Edge:Discover, Deploy, and Manage w...AI for Intelligent Cloud and Intelligent Edge:Discover, Deploy, and Manage w...
AI for Intelligent Cloud and Intelligent Edge: Discover, Deploy, and Manage w...John Chang
 
Harnessing the Power of Hyper-V Engine
Harnessing the Power of Hyper-V EngineHarnessing the Power of Hyper-V Engine
Harnessing the Power of Hyper-V EngineIT Brand Pulse
 
Proposal Finished
Proposal  FinishedProposal  Finished
Proposal FinishedTrevor Moon
 
IBM Cloud Paris Meetup - 20190520 - IA & Power
IBM Cloud Paris Meetup - 20190520 - IA & PowerIBM Cloud Paris Meetup - 20190520 - IA & Power
IBM Cloud Paris Meetup - 20190520 - IA & PowerIBM France Lab
 
Introduction to ibm cloud paks concept license and minimum config public
Introduction to ibm cloud paks concept license and minimum config publicIntroduction to ibm cloud paks concept license and minimum config public
Introduction to ibm cloud paks concept license and minimum config publicPetchpaitoon Krungwong
 
Virtual Design Master Challenge 1 - Akmal
Virtual Design Master Challenge 1  - AkmalVirtual Design Master Challenge 1  - Akmal
Virtual Design Master Challenge 1 - Akmaltovmug
 

Similaire à MIKE BY DHI SAAS - New features as of October 2014 (20)

dassault-systemes-catia-application-scalability-guide
dassault-systemes-catia-application-scalability-guidedassault-systemes-catia-application-scalability-guide
dassault-systemes-catia-application-scalability-guide
 
PureSystems on the Public Cloud John Kaemmerer and Gerry Novan, 11th Sep 14
PureSystems on the Public Cloud John Kaemmerer and Gerry Novan, 11th Sep 14PureSystems on the Public Cloud John Kaemmerer and Gerry Novan, 11th Sep 14
PureSystems on the Public Cloud John Kaemmerer and Gerry Novan, 11th Sep 14
 
IBM World of Watson 2016 - DB2 Analytics Accelerator on Cloud
IBM World of Watson 2016 - DB2 Analytics Accelerator on CloudIBM World of Watson 2016 - DB2 Analytics Accelerator on Cloud
IBM World of Watson 2016 - DB2 Analytics Accelerator on Cloud
 
IBM Power Systems - enabling cloud solutions
IBM Power Systems - enabling cloud solutionsIBM Power Systems - enabling cloud solutions
IBM Power Systems - enabling cloud solutions
 
2689 - Exploring IBM PureApplication System and IBM Workload Deployer Best Pr...
2689 - Exploring IBM PureApplication System and IBM Workload Deployer Best Pr...2689 - Exploring IBM PureApplication System and IBM Workload Deployer Best Pr...
2689 - Exploring IBM PureApplication System and IBM Workload Deployer Best Pr...
 
Deploying couchbaseserverazure cihanbiyikoglu_microsoft
Deploying couchbaseserverazure cihanbiyikoglu_microsoftDeploying couchbaseserverazure cihanbiyikoglu_microsoft
Deploying couchbaseserverazure cihanbiyikoglu_microsoft
 
Azure IaaS Feb 23 2016 Let's Dev This Cloud
Azure IaaS Feb 23 2016 Let's Dev This CloudAzure IaaS Feb 23 2016 Let's Dev This Cloud
Azure IaaS Feb 23 2016 Let's Dev This Cloud
 
News from re:Invent 2019
News from re:Invent 2019News from re:Invent 2019
News from re:Invent 2019
 
SPIntersection 2016 - TO THE CLOUD! USING IAAS AS A HOSTING PROVIDER FOR SHAR...
SPIntersection 2016 - TO THE CLOUD! USING IAAS AS A HOSTING PROVIDER FOR SHAR...SPIntersection 2016 - TO THE CLOUD! USING IAAS AS A HOSTING PROVIDER FOR SHAR...
SPIntersection 2016 - TO THE CLOUD! USING IAAS AS A HOSTING PROVIDER FOR SHAR...
 
PureSystems on the Private Cloud, John Kaemmerer and Gerry Novan, 11th Sept 14
PureSystems on the Private Cloud, John Kaemmerer and Gerry Novan, 11th Sept 14PureSystems on the Private Cloud, John Kaemmerer and Gerry Novan, 11th Sept 14
PureSystems on the Private Cloud, John Kaemmerer and Gerry Novan, 11th Sept 14
 
WindowsAzureIAAS
WindowsAzureIAASWindowsAzureIAAS
WindowsAzureIAAS
 
Savio Rodrigues - Cloud Enable Your Ent App - 11th September
Savio Rodrigues - Cloud Enable Your Ent App - 11th SeptemberSavio Rodrigues - Cloud Enable Your Ent App - 11th September
Savio Rodrigues - Cloud Enable Your Ent App - 11th September
 
Toward Scalable and Powerful CloudStack
Toward Scalable and Powerful CloudStackToward Scalable and Powerful CloudStack
Toward Scalable and Powerful CloudStack
 
AI for Intelligent Cloud and Intelligent Edge: Discover, Deploy, and Manage w...
AI for Intelligent Cloud and Intelligent Edge:Discover, Deploy, and Manage w...AI for Intelligent Cloud and Intelligent Edge:Discover, Deploy, and Manage w...
AI for Intelligent Cloud and Intelligent Edge: Discover, Deploy, and Manage w...
 
Harnessing the Power of Hyper-V Engine
Harnessing the Power of Hyper-V EngineHarnessing the Power of Hyper-V Engine
Harnessing the Power of Hyper-V Engine
 
Proposal Finished
Proposal  FinishedProposal  Finished
Proposal Finished
 
IBM Cloud Paris Meetup - 20190520 - IA & Power
IBM Cloud Paris Meetup - 20190520 - IA & PowerIBM Cloud Paris Meetup - 20190520 - IA & Power
IBM Cloud Paris Meetup - 20190520 - IA & Power
 
Introduction to ibm cloud paks concept license and minimum config public
Introduction to ibm cloud paks concept license and minimum config publicIntroduction to ibm cloud paks concept license and minimum config public
Introduction to ibm cloud paks concept license and minimum config public
 
Virtual Design Master Challenge 1 - Akmal
Virtual Design Master Challenge 1  - AkmalVirtual Design Master Challenge 1  - Akmal
Virtual Design Master Challenge 1 - Akmal
 
Rendering in the Cloud
Rendering in the CloudRendering in the Cloud
Rendering in the Cloud
 

Plus de Stephen Flood

Models Done Better... - UDG2018 - Intertek and DHI
Models Done Better... - UDG2018 - Intertek and DHIModels Done Better... - UDG2018 - Intertek and DHI
Models Done Better... - UDG2018 - Intertek and DHIStephen Flood
 
DHI’s Digital Strategy and Future Technologies. Mark Britton, DHI.
DHI’s Digital Strategy and Future Technologies. Mark Britton, DHI.DHI’s Digital Strategy and Future Technologies. Mark Britton, DHI.
DHI’s Digital Strategy and Future Technologies. Mark Britton, DHI.Stephen Flood
 
Sediment mobility modelling and maerl habitat dynamics in Galway Bay. Siddhi ...
Sediment mobility modelling and maerl habitat dynamics in Galway Bay. Siddhi ...Sediment mobility modelling and maerl habitat dynamics in Galway Bay. Siddhi ...
Sediment mobility modelling and maerl habitat dynamics in Galway Bay. Siddhi ...Stephen Flood
 
Effects of time-series data resolution on modelling shoreline change. Avidesh...
Effects of time-series data resolution on modelling shoreline change. Avidesh...Effects of time-series data resolution on modelling shoreline change. Avidesh...
Effects of time-series data resolution on modelling shoreline change. Avidesh...Stephen Flood
 
Using numerical modelling to regulate a growing aquaculture sector. Rebecca S...
Using numerical modelling to regulate a growing aquaculture sector. Rebecca S...Using numerical modelling to regulate a growing aquaculture sector. Rebecca S...
Using numerical modelling to regulate a growing aquaculture sector. Rebecca S...Stephen Flood
 
Catchment-based Flood Risk Assessment & Management, CFRAM, programme. John Ma...
Catchment-based Flood Risk Assessment & Management, CFRAM, programme. John Ma...Catchment-based Flood Risk Assessment & Management, CFRAM, programme. John Ma...
Catchment-based Flood Risk Assessment & Management, CFRAM, programme. John Ma...Stephen Flood
 
Latest Marine developments by DHI. Henrik Kofoed-Hansen, DHI.
Latest Marine developments by DHI. Henrik Kofoed-Hansen, DHI.Latest Marine developments by DHI. Henrik Kofoed-Hansen, DHI.
Latest Marine developments by DHI. Henrik Kofoed-Hansen, DHI.Stephen Flood
 
Some of our recent applications of the MIKE software. Oliver Way, WSP.
Some of our recent applications of the MIKE software. Oliver Way, WSP.Some of our recent applications of the MIKE software. Oliver Way, WSP.
Some of our recent applications of the MIKE software. Oliver Way, WSP.Stephen Flood
 
My experiences of learning to use MIKE. Jonathan Griffiths, ABPmer.
My experiences of learning to use MIKE. Jonathan Griffiths, ABPmer.My experiences of learning to use MIKE. Jonathan Griffiths, ABPmer.
My experiences of learning to use MIKE. Jonathan Griffiths, ABPmer.Stephen Flood
 
Using numerical modelling to regulate a growing aquaculture industry. Ted Sch...
Using numerical modelling to regulate a growing aquaculture industry. Ted Sch...Using numerical modelling to regulate a growing aquaculture industry. Ted Sch...
Using numerical modelling to regulate a growing aquaculture industry. Ted Sch...Stephen Flood
 
Developments in pollution risk forecasting at the Environment Agency. Deborah...
Developments in pollution risk forecasting at the Environment Agency. Deborah...Developments in pollution risk forecasting at the Environment Agency. Deborah...
Developments in pollution risk forecasting at the Environment Agency. Deborah...Stephen Flood
 
An Introduction to the Environment Agency extreme offshore wave, water level ...
An Introduction to the Environment Agency extreme offshore wave, water level ...An Introduction to the Environment Agency extreme offshore wave, water level ...
An Introduction to the Environment Agency extreme offshore wave, water level ...Stephen Flood
 
FAST Danube – Hydraulic and sediment transport modelling with MIKE 21 FM mode...
FAST Danube – Hydraulic and sediment transport modelling with MIKE 21 FM mode...FAST Danube – Hydraulic and sediment transport modelling with MIKE 21 FM mode...
FAST Danube – Hydraulic and sediment transport modelling with MIKE 21 FM mode...Stephen Flood
 
DHI Ireland Symposium 2018
DHI Ireland Symposium 2018DHI Ireland Symposium 2018
DHI Ireland Symposium 2018Stephen Flood
 
DHI UK Symposium 2018
DHI UK Symposium 2018DHI UK Symposium 2018
DHI UK Symposium 2018Stephen Flood
 
DHI UK & Ireland Symposium 2017 Programme
DHI UK & Ireland Symposium 2017 ProgrammeDHI UK & Ireland Symposium 2017 Programme
DHI UK & Ireland Symposium 2017 ProgrammeStephen Flood
 
DHI UK & Ireland Symposium 2017 Announcement Flyer
DHI UK & Ireland Symposium 2017 Announcement FlyerDHI UK & Ireland Symposium 2017 Announcement Flyer
DHI UK & Ireland Symposium 2017 Announcement FlyerStephen Flood
 
Ports & Navigation: Optimise Operability and Reduce Dredging Costs 20-50% wit...
Ports & Navigation: Optimise Operability and Reduce Dredging Costs 20-50% wit...Ports & Navigation: Optimise Operability and Reduce Dredging Costs 20-50% wit...
Ports & Navigation: Optimise Operability and Reduce Dredging Costs 20-50% wit...Stephen Flood
 
Smart Real-time Control of Water Systems
Smart Real-time Control of Water SystemsSmart Real-time Control of Water Systems
Smart Real-time Control of Water SystemsStephen Flood
 
DHI UK - BRIEFING FOR UK AND IRELAND WATER COMPANIES - NO 4 - UDG EDITION - N...
DHI UK - BRIEFING FOR UK AND IRELAND WATER COMPANIES - NO 4 - UDG EDITION - N...DHI UK - BRIEFING FOR UK AND IRELAND WATER COMPANIES - NO 4 - UDG EDITION - N...
DHI UK - BRIEFING FOR UK AND IRELAND WATER COMPANIES - NO 4 - UDG EDITION - N...Stephen Flood
 

Plus de Stephen Flood (20)

Models Done Better... - UDG2018 - Intertek and DHI
Models Done Better... - UDG2018 - Intertek and DHIModels Done Better... - UDG2018 - Intertek and DHI
Models Done Better... - UDG2018 - Intertek and DHI
 
DHI’s Digital Strategy and Future Technologies. Mark Britton, DHI.
DHI’s Digital Strategy and Future Technologies. Mark Britton, DHI.DHI’s Digital Strategy and Future Technologies. Mark Britton, DHI.
DHI’s Digital Strategy and Future Technologies. Mark Britton, DHI.
 
Sediment mobility modelling and maerl habitat dynamics in Galway Bay. Siddhi ...
Sediment mobility modelling and maerl habitat dynamics in Galway Bay. Siddhi ...Sediment mobility modelling and maerl habitat dynamics in Galway Bay. Siddhi ...
Sediment mobility modelling and maerl habitat dynamics in Galway Bay. Siddhi ...
 
Effects of time-series data resolution on modelling shoreline change. Avidesh...
Effects of time-series data resolution on modelling shoreline change. Avidesh...Effects of time-series data resolution on modelling shoreline change. Avidesh...
Effects of time-series data resolution on modelling shoreline change. Avidesh...
 
Using numerical modelling to regulate a growing aquaculture sector. Rebecca S...
Using numerical modelling to regulate a growing aquaculture sector. Rebecca S...Using numerical modelling to regulate a growing aquaculture sector. Rebecca S...
Using numerical modelling to regulate a growing aquaculture sector. Rebecca S...
 
Catchment-based Flood Risk Assessment & Management, CFRAM, programme. John Ma...
Catchment-based Flood Risk Assessment & Management, CFRAM, programme. John Ma...Catchment-based Flood Risk Assessment & Management, CFRAM, programme. John Ma...
Catchment-based Flood Risk Assessment & Management, CFRAM, programme. John Ma...
 
Latest Marine developments by DHI. Henrik Kofoed-Hansen, DHI.
Latest Marine developments by DHI. Henrik Kofoed-Hansen, DHI.Latest Marine developments by DHI. Henrik Kofoed-Hansen, DHI.
Latest Marine developments by DHI. Henrik Kofoed-Hansen, DHI.
 
Some of our recent applications of the MIKE software. Oliver Way, WSP.
Some of our recent applications of the MIKE software. Oliver Way, WSP.Some of our recent applications of the MIKE software. Oliver Way, WSP.
Some of our recent applications of the MIKE software. Oliver Way, WSP.
 
My experiences of learning to use MIKE. Jonathan Griffiths, ABPmer.
My experiences of learning to use MIKE. Jonathan Griffiths, ABPmer.My experiences of learning to use MIKE. Jonathan Griffiths, ABPmer.
My experiences of learning to use MIKE. Jonathan Griffiths, ABPmer.
 
Using numerical modelling to regulate a growing aquaculture industry. Ted Sch...
Using numerical modelling to regulate a growing aquaculture industry. Ted Sch...Using numerical modelling to regulate a growing aquaculture industry. Ted Sch...
Using numerical modelling to regulate a growing aquaculture industry. Ted Sch...
 
Developments in pollution risk forecasting at the Environment Agency. Deborah...
Developments in pollution risk forecasting at the Environment Agency. Deborah...Developments in pollution risk forecasting at the Environment Agency. Deborah...
Developments in pollution risk forecasting at the Environment Agency. Deborah...
 
An Introduction to the Environment Agency extreme offshore wave, water level ...
An Introduction to the Environment Agency extreme offshore wave, water level ...An Introduction to the Environment Agency extreme offshore wave, water level ...
An Introduction to the Environment Agency extreme offshore wave, water level ...
 
FAST Danube – Hydraulic and sediment transport modelling with MIKE 21 FM mode...
FAST Danube – Hydraulic and sediment transport modelling with MIKE 21 FM mode...FAST Danube – Hydraulic and sediment transport modelling with MIKE 21 FM mode...
FAST Danube – Hydraulic and sediment transport modelling with MIKE 21 FM mode...
 
DHI Ireland Symposium 2018
DHI Ireland Symposium 2018DHI Ireland Symposium 2018
DHI Ireland Symposium 2018
 
DHI UK Symposium 2018
DHI UK Symposium 2018DHI UK Symposium 2018
DHI UK Symposium 2018
 
DHI UK & Ireland Symposium 2017 Programme
DHI UK & Ireland Symposium 2017 ProgrammeDHI UK & Ireland Symposium 2017 Programme
DHI UK & Ireland Symposium 2017 Programme
 
DHI UK & Ireland Symposium 2017 Announcement Flyer
DHI UK & Ireland Symposium 2017 Announcement FlyerDHI UK & Ireland Symposium 2017 Announcement Flyer
DHI UK & Ireland Symposium 2017 Announcement Flyer
 
Ports & Navigation: Optimise Operability and Reduce Dredging Costs 20-50% wit...
Ports & Navigation: Optimise Operability and Reduce Dredging Costs 20-50% wit...Ports & Navigation: Optimise Operability and Reduce Dredging Costs 20-50% wit...
Ports & Navigation: Optimise Operability and Reduce Dredging Costs 20-50% wit...
 
Smart Real-time Control of Water Systems
Smart Real-time Control of Water SystemsSmart Real-time Control of Water Systems
Smart Real-time Control of Water Systems
 
DHI UK - BRIEFING FOR UK AND IRELAND WATER COMPANIES - NO 4 - UDG EDITION - N...
DHI UK - BRIEFING FOR UK AND IRELAND WATER COMPANIES - NO 4 - UDG EDITION - N...DHI UK - BRIEFING FOR UK AND IRELAND WATER COMPANIES - NO 4 - UDG EDITION - N...
DHI UK - BRIEFING FOR UK AND IRELAND WATER COMPANIES - NO 4 - UDG EDITION - N...
 

Dernier

Unit7-DC_Motors nkkjnsdkfnfcdfknfdgfggfg
Unit7-DC_Motors nkkjnsdkfnfcdfknfdgfggfgUnit7-DC_Motors nkkjnsdkfnfcdfknfdgfggfg
Unit7-DC_Motors nkkjnsdkfnfcdfknfdgfggfgsaravananr517913
 
Autonomous emergency braking system (aeb) ppt.ppt
Autonomous emergency braking system (aeb) ppt.pptAutonomous emergency braking system (aeb) ppt.ppt
Autonomous emergency braking system (aeb) ppt.pptbibisarnayak0
 
Correctly Loading Incremental Data at Scale
Correctly Loading Incremental Data at ScaleCorrectly Loading Incremental Data at Scale
Correctly Loading Incremental Data at ScaleAlluxio, Inc.
 
DM Pillar Training Manual.ppt will be useful in deploying TPM in project
DM Pillar Training Manual.ppt will be useful in deploying TPM in projectDM Pillar Training Manual.ppt will be useful in deploying TPM in project
DM Pillar Training Manual.ppt will be useful in deploying TPM in projectssuserb6619e
 
Arduino_CSE ece ppt for working and principal of arduino.ppt
Arduino_CSE ece ppt for working and principal of arduino.pptArduino_CSE ece ppt for working and principal of arduino.ppt
Arduino_CSE ece ppt for working and principal of arduino.pptSAURABHKUMAR892774
 
Mine Environment II Lab_MI10448MI__________.pptx
Mine Environment II Lab_MI10448MI__________.pptxMine Environment II Lab_MI10448MI__________.pptx
Mine Environment II Lab_MI10448MI__________.pptxRomil Mishra
 
Main Memory Management in Operating System
Main Memory Management in Operating SystemMain Memory Management in Operating System
Main Memory Management in Operating SystemRashmi Bhat
 
Industrial Safety Unit-IV workplace health and safety.ppt
Industrial Safety Unit-IV workplace health and safety.pptIndustrial Safety Unit-IV workplace health and safety.ppt
Industrial Safety Unit-IV workplace health and safety.pptNarmatha D
 
Internet of things -Arshdeep Bahga .pptx
Internet of things -Arshdeep Bahga .pptxInternet of things -Arshdeep Bahga .pptx
Internet of things -Arshdeep Bahga .pptxVelmuruganTECE
 
Ch10-Global Supply Chain - Cadena de Suministro.pdf
Ch10-Global Supply Chain - Cadena de Suministro.pdfCh10-Global Supply Chain - Cadena de Suministro.pdf
Ch10-Global Supply Chain - Cadena de Suministro.pdfChristianCDAM
 
Crushers to screens in aggregate production
Crushers to screens in aggregate productionCrushers to screens in aggregate production
Crushers to screens in aggregate productionChinnuNinan
 
National Level Hackathon Participation Certificate.pdf
National Level Hackathon Participation Certificate.pdfNational Level Hackathon Participation Certificate.pdf
National Level Hackathon Participation Certificate.pdfRajuKanojiya4
 
Configuration of IoT devices - Systems managament
Configuration of IoT devices - Systems managamentConfiguration of IoT devices - Systems managament
Configuration of IoT devices - Systems managamentBharaniDharan195623
 
System Simulation and Modelling with types and Event Scheduling
System Simulation and Modelling with types and Event SchedulingSystem Simulation and Modelling with types and Event Scheduling
System Simulation and Modelling with types and Event SchedulingBootNeck1
 
Comparative study of High-rise Building Using ETABS,SAP200 and SAFE., SAFE an...
Comparative study of High-rise Building Using ETABS,SAP200 and SAFE., SAFE an...Comparative study of High-rise Building Using ETABS,SAP200 and SAFE., SAFE an...
Comparative study of High-rise Building Using ETABS,SAP200 and SAFE., SAFE an...Erbil Polytechnic University
 
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)Dr SOUNDIRARAJ N
 
THE SENDAI FRAMEWORK FOR DISASTER RISK REDUCTION
THE SENDAI FRAMEWORK FOR DISASTER RISK REDUCTIONTHE SENDAI FRAMEWORK FOR DISASTER RISK REDUCTION
THE SENDAI FRAMEWORK FOR DISASTER RISK REDUCTIONjhunlian
 
Research Methodology for Engineering pdf
Research Methodology for Engineering pdfResearch Methodology for Engineering pdf
Research Methodology for Engineering pdfCaalaaAbdulkerim
 
Class 1 | NFPA 72 | Overview Fire Alarm System
Class 1 | NFPA 72 | Overview Fire Alarm SystemClass 1 | NFPA 72 | Overview Fire Alarm System
Class 1 | NFPA 72 | Overview Fire Alarm Systemirfanmechengr
 
Instrumentation, measurement and control of bio process parameters ( Temperat...
Instrumentation, measurement and control of bio process parameters ( Temperat...Instrumentation, measurement and control of bio process parameters ( Temperat...
Instrumentation, measurement and control of bio process parameters ( Temperat...121011101441
 

Dernier (20)

Unit7-DC_Motors nkkjnsdkfnfcdfknfdgfggfg
Unit7-DC_Motors nkkjnsdkfnfcdfknfdgfggfgUnit7-DC_Motors nkkjnsdkfnfcdfknfdgfggfg
Unit7-DC_Motors nkkjnsdkfnfcdfknfdgfggfg
 
Autonomous emergency braking system (aeb) ppt.ppt
Autonomous emergency braking system (aeb) ppt.pptAutonomous emergency braking system (aeb) ppt.ppt
Autonomous emergency braking system (aeb) ppt.ppt
 
Correctly Loading Incremental Data at Scale
Correctly Loading Incremental Data at ScaleCorrectly Loading Incremental Data at Scale
Correctly Loading Incremental Data at Scale
 
DM Pillar Training Manual.ppt will be useful in deploying TPM in project
DM Pillar Training Manual.ppt will be useful in deploying TPM in projectDM Pillar Training Manual.ppt will be useful in deploying TPM in project
DM Pillar Training Manual.ppt will be useful in deploying TPM in project
 
Arduino_CSE ece ppt for working and principal of arduino.ppt
Arduino_CSE ece ppt for working and principal of arduino.pptArduino_CSE ece ppt for working and principal of arduino.ppt
Arduino_CSE ece ppt for working and principal of arduino.ppt
 
Mine Environment II Lab_MI10448MI__________.pptx
Mine Environment II Lab_MI10448MI__________.pptxMine Environment II Lab_MI10448MI__________.pptx
Mine Environment II Lab_MI10448MI__________.pptx
 
Main Memory Management in Operating System
Main Memory Management in Operating SystemMain Memory Management in Operating System
Main Memory Management in Operating System
 
Industrial Safety Unit-IV workplace health and safety.ppt
Industrial Safety Unit-IV workplace health and safety.pptIndustrial Safety Unit-IV workplace health and safety.ppt
Industrial Safety Unit-IV workplace health and safety.ppt
 
Internet of things -Arshdeep Bahga .pptx
Internet of things -Arshdeep Bahga .pptxInternet of things -Arshdeep Bahga .pptx
Internet of things -Arshdeep Bahga .pptx
 
Ch10-Global Supply Chain - Cadena de Suministro.pdf
Ch10-Global Supply Chain - Cadena de Suministro.pdfCh10-Global Supply Chain - Cadena de Suministro.pdf
Ch10-Global Supply Chain - Cadena de Suministro.pdf
 
Crushers to screens in aggregate production
Crushers to screens in aggregate productionCrushers to screens in aggregate production
Crushers to screens in aggregate production
 
National Level Hackathon Participation Certificate.pdf
National Level Hackathon Participation Certificate.pdfNational Level Hackathon Participation Certificate.pdf
National Level Hackathon Participation Certificate.pdf
 
Configuration of IoT devices - Systems managament
Configuration of IoT devices - Systems managamentConfiguration of IoT devices - Systems managament
Configuration of IoT devices - Systems managament
 
System Simulation and Modelling with types and Event Scheduling
System Simulation and Modelling with types and Event SchedulingSystem Simulation and Modelling with types and Event Scheduling
System Simulation and Modelling with types and Event Scheduling
 
Comparative study of High-rise Building Using ETABS,SAP200 and SAFE., SAFE an...
Comparative study of High-rise Building Using ETABS,SAP200 and SAFE., SAFE an...Comparative study of High-rise Building Using ETABS,SAP200 and SAFE., SAFE an...
Comparative study of High-rise Building Using ETABS,SAP200 and SAFE., SAFE an...
 
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
 
THE SENDAI FRAMEWORK FOR DISASTER RISK REDUCTION
THE SENDAI FRAMEWORK FOR DISASTER RISK REDUCTIONTHE SENDAI FRAMEWORK FOR DISASTER RISK REDUCTION
THE SENDAI FRAMEWORK FOR DISASTER RISK REDUCTION
 
Research Methodology for Engineering pdf
Research Methodology for Engineering pdfResearch Methodology for Engineering pdf
Research Methodology for Engineering pdf
 
Class 1 | NFPA 72 | Overview Fire Alarm System
Class 1 | NFPA 72 | Overview Fire Alarm SystemClass 1 | NFPA 72 | Overview Fire Alarm System
Class 1 | NFPA 72 | Overview Fire Alarm System
 
Instrumentation, measurement and control of bio process parameters ( Temperat...
Instrumentation, measurement and control of bio process parameters ( Temperat...Instrumentation, measurement and control of bio process parameters ( Temperat...
Instrumentation, measurement and control of bio process parameters ( Temperat...
 

MIKE BY DHI SAAS - New features as of October 2014

  • 1. © DHI MIKE BY DHI SAAS New features as of October 2014 In October 2014, we have added a set of new features to the MIKE by DHI SaaS portal and available instances. The new features aim to further improve the user experience by:  Improving performance by upgrading the standard instances  Providing a MIKE by DHI/GPU bundle, offering a significant performance boost for certain models  Providing multi-region support, such as offering instances hosted on hardware near your location The new features are explained in more details below. SAAS UPGRADE UPGRADE OF STANDARD INSTANCES The standard AWS EC2 instances (virtual PCs) provided through MIKE by DHI SaaS have been upgraded to a newer generation. The instances are compared in the table below. MIKE BY DHI SAAS PORTAL Name Memory Compute units Storage Architecture IO performance API name M1 General Purpose Extra Large (old) 15.0 GB 8 (4 core x 2 unit) 1680 GB (4 * 420 GB) 64-bit High / 1000 Mbps m1.xlarge C3 High-CPU Double Extra Large (new) 15.0 GB 28 (8 core x 3.5 unit) 160 GB (2 * 80 GB SSD) 64-bit High / 1000 Mbps c3.2xlarge Please note that in addition to the storage space indicated, the instances come with a 500 GB root drive. The new standard instances perform better in terms of both processing power and number of cores – being equipped with twice the number of cores compared to the old standard instances. CPU-demanding simulations which are correctly configured to make use of parallelisation will run approximately twice as fast when compared to the old standard instances – essentially cutting your simulation times, and thus also simulation costs, in half. Please note that this depends on the actual model setup and that no warranty regarding a specific speedup factor is provided. For certain simulation types additional performance improvements can be obtained by purchasing the ‘All Products – GPU’ bundle.
  • 2. Improved MIKE by DHI SaaS Portal http://saas.dhigroup.com MIKE BY DHI SAAS PORTAL © DHI / Photo: iStock © Erie We offer a new product/hardware bundle. In terms of software, the licence is equivalent to ‘MIKE by DHI All Products’ package. The licence is bundled with an instance type (virtual PC type), which includes two NVIDIA Tesla M2050 GPUs. See the details of this instance type below: Contact us: mikebydhi@dhigroup.com For more information visit: www.mikebydhi.com - http://saas.dhigroup.com ‘MIKE BY DHI ALL PRODUCTS – GPU’ BUNDLE Please note that the ‘MIKE by DHI All Products – GPU’ bundle is only applicable for MIKE 21 FM (2D HD) simulations and MIKE FLOOD using MIKE 21 FM for the surface flow simulation. For information about applicable model types and performance, please read the separate note ‘Important information about MIKE by DHI GPU on SaaS’ at http://saas.dhigroup.com. MULTI-REGION SUPPORT Until now, MIKE by DHI SaaS has offered instances hosted on hardware residing in the EU region (Ireland). At the time of initial launch of MIKE by DHI SaaS, this was the only available region. Since then AWS have expanded their network of regions and availability zones, making it possible for AWS users to run cloud-based solutions hosted on hardware physically close to their location. MIKE by DHI SaaS is now utilising the AWS network of regions/ availability zones, to offer virtual PCs hosted in the following regions:  Standard instances: US East (N. Virginia). US West (Oregon), US West (N. California), EU (Ireland), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo)  All products – GPU: US East (N. Virginia), EU (Ireland) Using virtual PCs in a region near your location will in general ease the transfer of data in and out of the virtual PCs and reduce issues related to internet and bandwidth. PRICING The hourly price of the standard instances remains unchanged and are independent of the region in which your instances are running. The ‘All Products GPU’ bundle is priced at twice the price of the standard instances. Current prices are indicated on the MIKE by DHI SaaS Web Portal. DEFAULT REGION AFTER THE LAUNCH As the multi-region feature is now available, all users have a default region assigned. This is the region in which your instances will be launched by default. For new users, the choice of default region is a part of the sign-up process. All existing users will have ‘EU (Ireland)’ as the default region. If you are not located within the EU, you may consider an alternate choice. The default region can be configured in ‘My Profile’ below ‘User Details’. Please note that you may at all times override the default region by selecting a different region when launching a new virtual PC. Also note that the overview in ‘My Virtual PCs’ for performance reasons only shows virtual PCs in one region at the time. Thus, if you launch virtual PCs in several regions, be careful to maintain the overview of the regions in which you have running instances. You will however receive notifications for virtual PCs running more than 24 hours, regardless of the region(s) in which they are launched. Please refer to the step-by-step guide for further details on the multi-region feature. Name Memory Compute units Storage Architecture IO performance GPU configuration API name Cluster GPU Quadruple Extra Large 22.5 GB 33.5 (2 x Xeon X5570 ) 1680 GB (2 * 840 GB) 2xNVIDIA Tesla 64-bit 10 Gigabit cg1.4xlarge Fermi M2050