SlideShare une entreprise Scribd logo
1  sur  65
Clusters Paul Krzyzanowski [email_address] [email_address] Distributed Systems Except as otherwise noted, the content of this presentation is licensed under the Creative Commons Attribution 2.5 License.
Designing highly available systems ,[object Object],[object Object],[object Object],[object Object],[object Object]
Designing highly scalable systems ,[object Object],[object Object],[object Object],[object Object],[object Object]
Clustering ,[object Object],[object Object],[object Object]
Ideally… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
we don’t get all that (yet) (at least not in one package)
Clustering types ,[object Object],[object Object],[object Object],[object Object]
High Performance Computing (HPC)
The evolution of supercomputers ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Clustering for performance ,[object Object],[object Object],[object Object],[object Object]
What makes it possible ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What can you run? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Beowulf configuration ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Programming tools: MPI ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Programming tools: PVM ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Beowulf programming tools ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Another example ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Another example ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Batch Processing
Batch processing ,[object Object],[object Object],[object Object],[object Object],[object Object]
Single-queue work distribution ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Single-queue work distribution ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Batch Processing ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Grid Computing ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Open Grid Services Architecture  (OGSA) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Globus services ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Load Balancing for the web
Functions of a load balancer ,[object Object],[object Object],[object Object]
Redirection ,[object Object],[object Object]
Redirection ,[object Object],[object Object],Public domain keyboard image from http://en.wikipedia.org/wiki/Image:Computer_keyboard.gif Public domain Mac Pro image from http://en.wikipedia.org/wiki/Image:Macpro.png www.mysite.com
Redirection ,[object Object],[object Object],www.mysite.com REDIRECT www03.mysite.com
Redirection ,[object Object],[object Object],www03.mysite.com
Redirection ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Software load balancer ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Software load balancer www.mysite.com
Software load balancer www.mysite.com src=bobby, dest=www03
Software load balancer www.mysite.com response src=bobby, dest=www03
Load balancing router ,[object Object],[object Object],[object Object],[object Object]
Load balancing router ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Sessions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
High Availability (HA)
High availability (HA) Class Level Annual Downtime Continuous 100% 0 Six nines (carrier class switches) 99.9999% 30 seconds Fault Tolerant (carrier-class servers) 99.999% 5 minutes Fault Resilient 99.99% 53 minutes High Availability 99.9% 8.3 hours Normal availability 99-99.5% 44-87 hours
Clustering: high availability ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Clustering: high availability ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example: Windows Server 2003 clustering ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example: Windows Server 2003 clustering ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Clusters Architectural models
HA issues ,[object Object],[object Object],[object Object],[object Object]
Heartbeat network ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Failover Configuration Models ,[object Object],[object Object],[object Object],[object Object]
Design options for failover ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Design options for failover ,[object Object],[object Object],[object Object],[object Object],[object Object]
System support for HA ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Shared resources (disk) ,[object Object],[object Object],[object Object],[object Object],[object Object]
Shared resources (disk) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Cluster interconnects ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Achieving High Availability heartbeat 2 heartbeat 3 Server A Server B Fibre channel switch Fibre channel switch Fabric A Fabric B Storage Area Networks Local Area Networks switch B switch A heartbeat
Achieving High Availability heartbeat 2 heartbeat 3 Server A Server B Ethernet switch A’ Ethernet switch B’ ethernet A ethernet B Local Area Networks (for iSCSI) Local Area Networks switch B Switch A heartbeat
HA Storage: RAID ,[object Object]
RAID 0: Performance ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Disk 0 Block 4 Block 2 Block 0 Disk 1 Block 5 Block 3 Block 1
RAID 1: HA ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Disk 0 Block 2 Block 1 Block 0 Disk 1 Block 2 Block 1 Block 0
RAID 3 and RAID 4: HA ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Disk 3 Parity 2 Parity 1 Parity 0 Disk 2 Block 2c Block 1c Block 0c Disk 1 Block 2b Block 1b Block 0b Disk 0 Block 2a Block 1a Block 0a
RAID 5: HA ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Disk 2 Block 2b Parity 1 Block 0c Disk 3 Block 2c Block 1c Parity 0 Disk 1 Parity 2 Block 1b Block 0b Disk 0 Block 2a Block 1a Block 0a
RAID 1+0 ,[object Object],[object Object],[object Object]
The end

Contenu connexe

Tendances

What's new in MQ 9.1 on z/OS
What's new in MQ 9.1 on z/OSWhat's new in MQ 9.1 on z/OS
What's new in MQ 9.1 on z/OSMatt Leming
 
IBM MQ and Kafka, what is the difference?
IBM MQ and Kafka, what is the difference?IBM MQ and Kafka, what is the difference?
IBM MQ and Kafka, what is the difference?David Ware
 
What's new in MQ 9.1.* on z/OS
What's new in MQ 9.1.* on z/OSWhat's new in MQ 9.1.* on z/OS
What's new in MQ 9.1.* on z/OSMatt Leming
 
IBM MQ Update, including 9.1.2 CD
IBM MQ Update, including 9.1.2 CDIBM MQ Update, including 9.1.2 CD
IBM MQ Update, including 9.1.2 CDDavid Ware
 
Building a resilient and scalable solution with IBM MQ on z/OS
Building a resilient and scalable solution with IBM MQ on z/OSBuilding a resilient and scalable solution with IBM MQ on z/OS
Building a resilient and scalable solution with IBM MQ on z/OSMatt Leming
 
What's New In MQ 9.2 on z/OS
What's New In MQ 9.2 on z/OSWhat's New In MQ 9.2 on z/OS
What's New In MQ 9.2 on z/OSMatt Leming
 
Connecting mq&kafka
Connecting mq&kafkaConnecting mq&kafka
Connecting mq&kafkaMatt Leming
 
Where is My Message
Where is My MessageWhere is My Message
Where is My MessageMatt Leming
 
IBM MQ cloud architecture blueprint
IBM MQ cloud architecture blueprintIBM MQ cloud architecture blueprint
IBM MQ cloud architecture blueprintMatt Roberts
 
IBM WebSphere MQ: Using Publish/Subscribe in an MQ Network
IBM WebSphere MQ: Using Publish/Subscribe in an MQ NetworkIBM WebSphere MQ: Using Publish/Subscribe in an MQ Network
IBM WebSphere MQ: Using Publish/Subscribe in an MQ NetworkDavid Ware
 
M14: MQ security deep dive ITC 2019
M14: MQ security deep dive ITC 2019M14: MQ security deep dive ITC 2019
M14: MQ security deep dive ITC 2019Robert Parker
 
IBM MQ Advanced - IBM InterConnect 2016
IBM MQ Advanced - IBM InterConnect 2016IBM MQ Advanced - IBM InterConnect 2016
IBM MQ Advanced - IBM InterConnect 2016Leif Davidsen
 
InterConnect 2016: IBM MQ self-service and as-a-service
InterConnect 2016: IBM MQ self-service and as-a-serviceInterConnect 2016: IBM MQ self-service and as-a-service
InterConnect 2016: IBM MQ self-service and as-a-serviceDavid Ware
 
IBM MQ in Containers - Think 2018
IBM MQ in Containers - Think 2018IBM MQ in Containers - Think 2018
IBM MQ in Containers - Think 2018Robert Parker
 
Multi-cloud deployment with IBM MQ
Multi-cloud deployment with IBM MQMulti-cloud deployment with IBM MQ
Multi-cloud deployment with IBM MQMatt Roberts
 
Interconnect 2017: 6885 Deploying IBM MQ in the cloud
Interconnect 2017: 6885 Deploying IBM MQ in the cloudInterconnect 2017: 6885 Deploying IBM MQ in the cloud
Interconnect 2017: 6885 Deploying IBM MQ in the cloudRobert Parker
 
InterConnect 2016: What's new in IBM MQ
InterConnect 2016: What's new in IBM MQInterConnect 2016: What's new in IBM MQ
InterConnect 2016: What's new in IBM MQDavid Ware
 
What's new in IBM MQ, March 2018
What's new in IBM MQ, March 2018What's new in IBM MQ, March 2018
What's new in IBM MQ, March 2018David Ware
 
Running IBM MQ in the Cloud
Running IBM MQ in the CloudRunning IBM MQ in the Cloud
Running IBM MQ in the CloudRobert Parker
 

Tendances (20)

What's new in MQ 9.1 on z/OS
What's new in MQ 9.1 on z/OSWhat's new in MQ 9.1 on z/OS
What's new in MQ 9.1 on z/OS
 
IBM MQ and Kafka, what is the difference?
IBM MQ and Kafka, what is the difference?IBM MQ and Kafka, what is the difference?
IBM MQ and Kafka, what is the difference?
 
What's new in MQ 9.1.* on z/OS
What's new in MQ 9.1.* on z/OSWhat's new in MQ 9.1.* on z/OS
What's new in MQ 9.1.* on z/OS
 
IBM MQ Update, including 9.1.2 CD
IBM MQ Update, including 9.1.2 CDIBM MQ Update, including 9.1.2 CD
IBM MQ Update, including 9.1.2 CD
 
Building a resilient and scalable solution with IBM MQ on z/OS
Building a resilient and scalable solution with IBM MQ on z/OSBuilding a resilient and scalable solution with IBM MQ on z/OS
Building a resilient and scalable solution with IBM MQ on z/OS
 
IBM MQ V9 Overview
IBM MQ V9 OverviewIBM MQ V9 Overview
IBM MQ V9 Overview
 
What's New In MQ 9.2 on z/OS
What's New In MQ 9.2 on z/OSWhat's New In MQ 9.2 on z/OS
What's New In MQ 9.2 on z/OS
 
Connecting mq&kafka
Connecting mq&kafkaConnecting mq&kafka
Connecting mq&kafka
 
Where is My Message
Where is My MessageWhere is My Message
Where is My Message
 
IBM MQ cloud architecture blueprint
IBM MQ cloud architecture blueprintIBM MQ cloud architecture blueprint
IBM MQ cloud architecture blueprint
 
IBM WebSphere MQ: Using Publish/Subscribe in an MQ Network
IBM WebSphere MQ: Using Publish/Subscribe in an MQ NetworkIBM WebSphere MQ: Using Publish/Subscribe in an MQ Network
IBM WebSphere MQ: Using Publish/Subscribe in an MQ Network
 
M14: MQ security deep dive ITC 2019
M14: MQ security deep dive ITC 2019M14: MQ security deep dive ITC 2019
M14: MQ security deep dive ITC 2019
 
IBM MQ Advanced - IBM InterConnect 2016
IBM MQ Advanced - IBM InterConnect 2016IBM MQ Advanced - IBM InterConnect 2016
IBM MQ Advanced - IBM InterConnect 2016
 
InterConnect 2016: IBM MQ self-service and as-a-service
InterConnect 2016: IBM MQ self-service and as-a-serviceInterConnect 2016: IBM MQ self-service and as-a-service
InterConnect 2016: IBM MQ self-service and as-a-service
 
IBM MQ in Containers - Think 2018
IBM MQ in Containers - Think 2018IBM MQ in Containers - Think 2018
IBM MQ in Containers - Think 2018
 
Multi-cloud deployment with IBM MQ
Multi-cloud deployment with IBM MQMulti-cloud deployment with IBM MQ
Multi-cloud deployment with IBM MQ
 
Interconnect 2017: 6885 Deploying IBM MQ in the cloud
Interconnect 2017: 6885 Deploying IBM MQ in the cloudInterconnect 2017: 6885 Deploying IBM MQ in the cloud
Interconnect 2017: 6885 Deploying IBM MQ in the cloud
 
InterConnect 2016: What's new in IBM MQ
InterConnect 2016: What's new in IBM MQInterConnect 2016: What's new in IBM MQ
InterConnect 2016: What's new in IBM MQ
 
What's new in IBM MQ, March 2018
What's new in IBM MQ, March 2018What's new in IBM MQ, March 2018
What's new in IBM MQ, March 2018
 
Running IBM MQ in the Cloud
Running IBM MQ in the CloudRunning IBM MQ in the Cloud
Running IBM MQ in the Cloud
 

En vedette

Google Cluster Innards
Google Cluster InnardsGoogle Cluster Innards
Google Cluster InnardsMartin Dvorak
 
Evaluation of Virtual Clusters Performance on a Cloud Computing Infrastructure
Evaluation of Virtual Clusters Performance on a Cloud Computing InfrastructureEvaluation of Virtual Clusters Performance on a Cloud Computing Infrastructure
Evaluation of Virtual Clusters Performance on a Cloud Computing InfrastructureEuroCloud
 
Cloud Computing Clusters for Dummies
Cloud Computing Clusters for DummiesCloud Computing Clusters for Dummies
Cloud Computing Clusters for DummiesLiberteks
 
Parallel and Distributed Computing on Low Latency Clusters
Parallel and Distributed Computing on Low Latency ClustersParallel and Distributed Computing on Low Latency Clusters
Parallel and Distributed Computing on Low Latency ClustersVittorio Giovara
 
Clusters, Grids & Clouds for Engineering Design, Simulation, and Collaboration
Clusters, Grids & Clouds for Engineering Design, Simulation, and CollaborationClusters, Grids & Clouds for Engineering Design, Simulation, and Collaboration
Clusters, Grids & Clouds for Engineering Design, Simulation, and CollaborationWolfgang Gentzsch
 
SLE12 SP2 : High Availability et Geo Cluster
SLE12 SP2 : High Availability et Geo ClusterSLE12 SP2 : High Availability et Geo Cluster
SLE12 SP2 : High Availability et Geo ClusterSUSE
 
Grid computing ppt 2003(done)
Grid computing ppt 2003(done)Grid computing ppt 2003(done)
Grid computing ppt 2003(done)TASNEEM88
 
Chap8 basic cluster_analysis
Chap8 basic cluster_analysisChap8 basic cluster_analysis
Chap8 basic cluster_analysisguru_prasadg
 
Grid computing notes
Grid computing notesGrid computing notes
Grid computing notesSyed Mustafa
 
Data mining tools (R , WEKA, RAPID MINER, ORANGE)
Data mining tools (R , WEKA, RAPID MINER, ORANGE)Data mining tools (R , WEKA, RAPID MINER, ORANGE)
Data mining tools (R , WEKA, RAPID MINER, ORANGE)Krishna Petrochemicals
 

En vedette (15)

Google Cluster Innards
Google Cluster InnardsGoogle Cluster Innards
Google Cluster Innards
 
Evaluation of Virtual Clusters Performance on a Cloud Computing Infrastructure
Evaluation of Virtual Clusters Performance on a Cloud Computing InfrastructureEvaluation of Virtual Clusters Performance on a Cloud Computing Infrastructure
Evaluation of Virtual Clusters Performance on a Cloud Computing Infrastructure
 
Grid
GridGrid
Grid
 
Cloud Computing Clusters for Dummies
Cloud Computing Clusters for DummiesCloud Computing Clusters for Dummies
Cloud Computing Clusters for Dummies
 
Chapter16 new
Chapter16 newChapter16 new
Chapter16 new
 
Parallel and Distributed Computing on Low Latency Clusters
Parallel and Distributed Computing on Low Latency ClustersParallel and Distributed Computing on Low Latency Clusters
Parallel and Distributed Computing on Low Latency Clusters
 
Clusters, Grids & Clouds for Engineering Design, Simulation, and Collaboration
Clusters, Grids & Clouds for Engineering Design, Simulation, and CollaborationClusters, Grids & Clouds for Engineering Design, Simulation, and Collaboration
Clusters, Grids & Clouds for Engineering Design, Simulation, and Collaboration
 
SLE12 SP2 : High Availability et Geo Cluster
SLE12 SP2 : High Availability et Geo ClusterSLE12 SP2 : High Availability et Geo Cluster
SLE12 SP2 : High Availability et Geo Cluster
 
Grid computing ppt 2003(done)
Grid computing ppt 2003(done)Grid computing ppt 2003(done)
Grid computing ppt 2003(done)
 
Cluster computing
Cluster computingCluster computing
Cluster computing
 
Chap8 basic cluster_analysis
Chap8 basic cluster_analysisChap8 basic cluster_analysis
Chap8 basic cluster_analysis
 
Grid computing notes
Grid computing notesGrid computing notes
Grid computing notes
 
Data mining tools (R , WEKA, RAPID MINER, ORANGE)
Data mining tools (R , WEKA, RAPID MINER, ORANGE)Data mining tools (R , WEKA, RAPID MINER, ORANGE)
Data mining tools (R , WEKA, RAPID MINER, ORANGE)
 
Cluster analysis
Cluster analysisCluster analysis
Cluster analysis
 
Distributed Computing
Distributed ComputingDistributed Computing
Distributed Computing
 

Similaire à Clusters (Distributed computing)

Paper on RDMA enabled Cluster FileSystem at Intel Developer Forum
Paper on RDMA enabled Cluster FileSystem at Intel Developer ForumPaper on RDMA enabled Cluster FileSystem at Intel Developer Forum
Paper on RDMA enabled Cluster FileSystem at Intel Developer Forumsomenathb
 
LOAD BALANCING OF APPLICATIONS USING XEN HYPERVISOR
LOAD BALANCING OF APPLICATIONS  USING XEN HYPERVISORLOAD BALANCING OF APPLICATIONS  USING XEN HYPERVISOR
LOAD BALANCING OF APPLICATIONS USING XEN HYPERVISORVanika Kapoor
 
Partners Enterprise Caché Unix Migration Public
Partners Enterprise Caché Unix Migration PublicPartners Enterprise Caché Unix Migration Public
Partners Enterprise Caché Unix Migration Publicwalterhalvorsen
 
Google Cloud Computing on Google Developer 2008 Day
Google Cloud Computing on Google Developer 2008 DayGoogle Cloud Computing on Google Developer 2008 Day
Google Cloud Computing on Google Developer 2008 Dayprogrammermag
 
Evolution of the Windows Kernel Architecture, by Dave Probert
Evolution of the Windows Kernel Architecture, by Dave ProbertEvolution of the Windows Kernel Architecture, by Dave Probert
Evolution of the Windows Kernel Architecture, by Dave Probertyang
 
Mainframe Architecture & Product Overview
Mainframe Architecture & Product OverviewMainframe Architecture & Product Overview
Mainframe Architecture & Product Overviewabhi1112
 
Infrastructure student
Infrastructure studentInfrastructure student
Infrastructure studentJohn Scrugham
 
Cluster Computing
Cluster ComputingCluster Computing
Cluster ComputingNIKHIL NAIR
 
Building Highly Scalable Java Applications on Windows Azure - JavaOne S313978
Building Highly Scalable Java Applications on Windows Azure - JavaOne S313978Building Highly Scalable Java Applications on Windows Azure - JavaOne S313978
Building Highly Scalable Java Applications on Windows Azure - JavaOne S313978David Chou
 
Embedded System
Embedded SystemEmbedded System
Embedded Systemsurendar
 
virtual-machine-ppt 18030 cloud computing.pptx
virtual-machine-ppt 18030 cloud computing.pptxvirtual-machine-ppt 18030 cloud computing.pptx
virtual-machine-ppt 18030 cloud computing.pptxZarwashgulrez
 

Similaire à Clusters (Distributed computing) (20)

Distributed Computing
Distributed ComputingDistributed Computing
Distributed Computing
 
Paper on RDMA enabled Cluster FileSystem at Intel Developer Forum
Paper on RDMA enabled Cluster FileSystem at Intel Developer ForumPaper on RDMA enabled Cluster FileSystem at Intel Developer Forum
Paper on RDMA enabled Cluster FileSystem at Intel Developer Forum
 
3 Hyper V
3 Hyper V3 Hyper V
3 Hyper V
 
LOAD BALANCING OF APPLICATIONS USING XEN HYPERVISOR
LOAD BALANCING OF APPLICATIONS  USING XEN HYPERVISORLOAD BALANCING OF APPLICATIONS  USING XEN HYPERVISOR
LOAD BALANCING OF APPLICATIONS USING XEN HYPERVISOR
 
Partners Enterprise Caché Unix Migration Public
Partners Enterprise Caché Unix Migration PublicPartners Enterprise Caché Unix Migration Public
Partners Enterprise Caché Unix Migration Public
 
Google Cloud Computing on Google Developer 2008 Day
Google Cloud Computing on Google Developer 2008 DayGoogle Cloud Computing on Google Developer 2008 Day
Google Cloud Computing on Google Developer 2008 Day
 
Oct2009
Oct2009Oct2009
Oct2009
 
Evolution of the Windows Kernel Architecture, by Dave Probert
Evolution of the Windows Kernel Architecture, by Dave ProbertEvolution of the Windows Kernel Architecture, by Dave Probert
Evolution of the Windows Kernel Architecture, by Dave Probert
 
PROSE
PROSEPROSE
PROSE
 
Introduction To Cloud Computing
Introduction To Cloud ComputingIntroduction To Cloud Computing
Introduction To Cloud Computing
 
Mainframe Architecture & Product Overview
Mainframe Architecture & Product OverviewMainframe Architecture & Product Overview
Mainframe Architecture & Product Overview
 
Cloud Computing
Cloud ComputingCloud Computing
Cloud Computing
 
Infrastructure student
Infrastructure studentInfrastructure student
Infrastructure student
 
Cluster Computing
Cluster ComputingCluster Computing
Cluster Computing
 
Cl306
Cl306Cl306
Cl306
 
Building Highly Scalable Java Applications on Windows Azure - JavaOne S313978
Building Highly Scalable Java Applications on Windows Azure - JavaOne S313978Building Highly Scalable Java Applications on Windows Azure - JavaOne S313978
Building Highly Scalable Java Applications on Windows Azure - JavaOne S313978
 
Embedded System
Embedded SystemEmbedded System
Embedded System
 
virtual-machine-ppt 18030 cloud computing.pptx
virtual-machine-ppt 18030 cloud computing.pptxvirtual-machine-ppt 18030 cloud computing.pptx
virtual-machine-ppt 18030 cloud computing.pptx
 
linuxcluster.ppt
linuxcluster.pptlinuxcluster.ppt
linuxcluster.ppt
 
Cluster computing
Cluster computingCluster computing
Cluster computing
 

Plus de Sri Prasanna

Plus de Sri Prasanna (20)

Qr codes para tech radar
Qr codes para tech radarQr codes para tech radar
Qr codes para tech radar
 
Qr codes para tech radar 2
Qr codes para tech radar 2Qr codes para tech radar 2
Qr codes para tech radar 2
 
Test
TestTest
Test
 
Test
TestTest
Test
 
assds
assdsassds
assds
 
assds
assdsassds
assds
 
asdsa
asdsaasdsa
asdsa
 
dsd
dsddsd
dsd
 
About stacks
About stacksAbout stacks
About stacks
 
About Stacks
About  StacksAbout  Stacks
About Stacks
 
About Stacks
About  StacksAbout  Stacks
About Stacks
 
About Stacks
About  StacksAbout  Stacks
About Stacks
 
About Stacks
About  StacksAbout  Stacks
About Stacks
 
About Stacks
About  StacksAbout  Stacks
About Stacks
 
About Stacks
About StacksAbout Stacks
About Stacks
 
About Stacks
About StacksAbout Stacks
About Stacks
 
Network and distributed systems
Network and distributed systemsNetwork and distributed systems
Network and distributed systems
 
Introduction & Parellelization on large scale clusters
Introduction & Parellelization on large scale clustersIntroduction & Parellelization on large scale clusters
Introduction & Parellelization on large scale clusters
 
Mapreduce: Theory and implementation
Mapreduce: Theory and implementationMapreduce: Theory and implementation
Mapreduce: Theory and implementation
 
Other distributed systems
Other distributed systemsOther distributed systems
Other distributed systems
 

Dernier

Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxMaking_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxnull - The Open Security Community
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024Scott Keck-Warren
 
APIForce Zurich 5 April Automation LPDG
APIForce Zurich 5 April  Automation LPDGAPIForce Zurich 5 April  Automation LPDG
APIForce Zurich 5 April Automation LPDGMarianaLemus7
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024BookNet Canada
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
Unlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power SystemsUnlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power SystemsPrecisely
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxOnBoard
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
 
Artificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraArtificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraDeakin University
 

Dernier (20)

Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food Manufacturing
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxMaking_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping Elbows
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024
 
APIForce Zurich 5 April Automation LPDG
APIForce Zurich 5 April  Automation LPDGAPIForce Zurich 5 April  Automation LPDG
APIForce Zurich 5 April Automation LPDG
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
Unlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power SystemsUnlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power Systems
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptx
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
 
Artificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraArtificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning era
 

Clusters (Distributed computing)