OPTIMIS cloud-enabling technology makes it possible to intelligently orchestrate cloud services, run legacy applications on multiple clouds and make intelligent deployment and operational optimisation decisions based on their or their customers’ preference regarding trust, risk, eco-efficiency and cost. It supports end-to-end security and compliance with data protection and green legislation. It also enables cloud application providers to develop once and deploy services across all types of cloud environments – private, hybrid, ederated or multi-clouds. OPTIMIS tools complement cloud management and orchestration platforms. By using the OPTIMIS toolkit: i) Application developers can easily on-board applications on several cloud environments and a optimize the use of resources from multiple providers based on the needs of their application; ii) Brokers can combine multiple cloud infrastructures and services into multi-cloud and application-defined virtual networks; iii) Infrastructure providers can optimise provision and use of their resources and enhance their offering by integrating value-add services. OPTIMIS toolkit offers interoperability with with Amazon EC2, Open Nebula, Open Stack.
3. *
OPTIMIS addresses the scenario of
2013+ where most companies use
private and public clouds in
combination (hybrid clouds)
OPTIMIS aims at optimizing IaaS cloud
services by producing an architectural
framework and a development toolkit
that takes Trust, Risk, Eco-efficiency,
Cost (TREC) and legal issues into
account
The optimization covers the full cloud service
lifecycle
6. Construction
Multi Cloud
Operation
Multi Cloud
Deployment
Private Cloud
operation
Public Cloud
Operation
*
OPTIMIS is an innovative tool suite supporting users at
all stages of the cloud service lifecycle:
– application construction
– deployment
– operation across the most appropriate mix of
public, private, and hybrid cloud venues and value
added services
7. Construction
Multi Cloud
Operation
Multi Cloud
Deployment
Private Cloud
operation
Public Cloud
Operation
*
Deployment and operation is optimised based on:
– Trust: provider's trustworthiness based on
performance and social networking data;
– Risk: probability and impact of adverse events;
– Energy: metrics to enable energy-efficient
computing;
– Cost: management of operation costs.
8. Construction
Multi Cloud
Operation
Multi Cloud
Deployment
Private Cloud
operation
Public Cloud
Operation
*
Programming Model
– Simplifies cloud enablement of new or legacy applications
– It is independent of the underlying cloud infrastructure interfaces
– It based on sequential specifications of data and application
execution flows
– That can combined with declarative constraints which ensure affinity
and performance compliance.
– It is available as Eclipse-based IDE
Run-Time :
– it provides optimal parallelism and multi-cloud distribution
– It performs run-time scheduling and optimization during application
execution.
9. Construction
Multi Cloud
Operation
Multi Cloud
Deployment
Private Cloud
operation
Public Cloud
Operation
*
OPTIMIS Cloud Broker
– Enables multi-tier cloud infrastructure reseller model
– It is integrated with PM to obtain application component’s template
images automatically
– it analyses possible application decompositions and distributions to one or
multiple cloud infrastructure providers
– It may integrate value-added services (VAS) in order to meet
performance, data security and protection requirements.
– it establishes a virtual private network overlay among the VMs of each
multi-cloud application deployment, and a shared virtual data space that
aggregates data elements across multiple clouds
10. Construction
Multi Cloud
Operation
Multi Cloud
Deployment
Private Cloud
operation
Public Cloud
Operation
*
OPTIMIS Multi Cloud Operation include tools
– to improve elasticity
– to determine the optimal placement of virtual machines and their live
migration
– to support conformance to application requirements by bursting
application components to another cloud without interrupting the
continuity of monitoring or operational management of multi-cloud
application.
It offers unified operations management (dashboard):
– instruments cloud infrastructure provider’s monitoring interfaces
– correlates application specific information for multiple sources, including
integrated VAS.
19. ASCETiC project
ASCETiC
} Identification of the missing functionalities to
support energy efficiency across all cloud layers
} Definition and integration of explicit measures of
energy and ecological requirements into the
design and development process for software.
Energy
efficien
cy
metrics
Requireme
nts
Engineerin
g
Programmi
ng Models
Energy
Efficiency
Software
Modelling
Virtual
Machine
Scheduling
Pricing
Energy
Consumpti
on
Service Life
Cycle
Optimization
Resource
Manageme
nt