Cloud And Virtualization To Support Grid Infrastructures
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The document discusses how cloud computing and virtualization can support grid infrastructures. It introduces key concepts like virtualization platforms, distributed virtual machine management, and provisioning virtual resources as a cloud service. The RESERVOIR project aims to integrate these technologies with grid computing to provide dynamic, on-demand access to resources like a utility. Virtualization can help address barriers to adopting grid computing by isolating workloads and dynamically allocating resources.
Cloud And Virtualization To Support Grid Infrastructures
- 1. Cloud and Virtualization to Support Grid Infrastructures Ignacio M. Llorente ESAC GRID Workshop '08 ESAC, Villafranca del Castillo, Spain 11-12 December 2008
- 2. Objectives Introduce virtualization and cloud from the perspective of the Grid computing community Show the benefits of virtualization and cloud for Grid computing Demonstrate how Grid, virtualization and cloud are complementary technologies that will cooperate in future Grid computing infrastructures Introduce the RESERVOIR project , European initiative in virtualization and cloud computing Cloud and Virtualization to Support Grid Infrastructures
- 3. Barriers to Adoption of the Compute Grid Model High degree of heterogeneity (software & hardware) High operational costs Difficult isolation and partitioning of resources Specific environment requirements for different VOs Variability of demand Grids are difficult to mantain, operate and use Cloud and Virtualization to Support Grid Infrastructures
- 4. Virtualization Platform Separation of Virtual Machine from Physical Infrastructure Natural way to deal with the heterogeneity of the infrastructure Allow partitioning and isolating of physical resources Execution of legacy applications Benefits of Virtualization Platforms Physical Box Virtualization Platform (Xen, KVM, VMware…) Guest OS Guest OS Guest OS Applications Applications Applications VM VM VM A VM is an isolated runtime environment (guest OS and applications) Multiple virtual systems (VMs) to run on a single physical system Cloud and Virtualization to Support Grid Infrastructures
- 5. Distributed Management of VMs VM Managers creates a distributed virtualization layer Extend the benefits of VM Monitors from one to multiple resources Decouple the VM (service) from the physical location Transform a distributed physical infrastructure into a flexible and elastic virtual infrastructure Extending the Benefits of Virtualization to a Physical Cluster Benefits of VM Managers Centralized management Balance of workload Server consolidation Dynamic resizing of the infrastructure Dynamic cluster partitioning Support for heterogeneous workloads On-demand provision of VMs Cloud and Virtualization to Support Grid Infrastructures
- 6. Virtualization of a Computing Cluster New virtualization layer between the service and the infrastructure layers Seamless integration with the existing middleware stacks. Completely transparent to the computing service and so end users Separation of Resource Provisioning from Job Management Cloud and Virtualization to Support Grid Infrastructures SGE Frontend Virtualized SGE nodes Dedicated SGE working physical nodes VMM VMM VMM VMM OpenNebula
- 7. Integration of a Virtualized Cluster within a Grid Cluster Frontend (SGE) MDS GRAM GridFTP GridWay Local Computing Infrastructure Grid Middleware Applications Local computing resources Dynamic scheduling Fault detection & recovery Virtual resources are exposed by GT Grid Applications Grid interfaces (DRMAA...) Cloud and Virtualization to Support Grid Infrastructures OpenNebula VMM VMM VMM Physical Infrastructure Layer Grid and central services virtualization Coexist with other services
- 8. Integration of a Virtualized Cluster within a Grid The virtualization of the local infrastructure provides: Easy support for VO-specific worker nodes Reduce gridification cycles Dynamic balance of resources between VO’s Fault tolerance of key infrastructure components Easier deployment and testing of new middleware distributions Distribution of pre-configured components Cheaper development nodes Simplified training machines deployment Performance partitioning between local and grid services Benefits of Virtualization for Existing Grid Infrastructures Solve many of the obstacles for Grid adoption Cloud and Virtualization to Support Grid Infrastructures
- 9. Cloud as Provision of Virtualized Resources Cloud systems provide virtualized resources as a service Provide remote on-demand access to infrastructure for the execution of virtual machines A Service to Provide Hardware on Demand (IaaS) Simple Interfaces for VM Management Submission Control Monitoring Commercial Cloud : Amazon EC2, GoGrid, Flexiscale… Scientific Cloud : Nimbus (University of Chicago) Infrastructure Cloud Services Main components of a Cloud architecture : Front-end: Remote interface (Eucalyptus, Globus Nimbus…) Back-end: Local VM manager (OpenNebula) Cloud and Virtualization to Support Grid Infrastructures
- 10. Cloud for Scaling out Local Infrastructures On-demand Access to Cloud Resources VMM VMM VMM OpenNebula SGE Frontend Amazon EC2 Supplement local resources with cloud resources to satisfy peak or fluctuating demands Cloud and Virtualization to Support Grid Infrastructures
- 11. RESERVOIR Project The Next Generation Infrastructure for Service Delivery, where resources and services can be transparently and dynamically managed, provisioned and relocated like utilities – virtually “without borders” What? Integration of virtualization technologies with grid computing driven by new techniques for business service management, driven by business use cases How? Who? IBM (coordinator), Sun, SAP, ED, TID, UCM, UNIME, UMEA, UCL, USI, CETIC, Thales and OGF-Europe 17-million and 3-year project partially funded by the European Commission (NESSI Strategic Project) + + Cloud and Virtualization to Support Grid Infrastructures = SOI Virtualization - Aware Grid e . g . , VM as management unit for metering and billing Grid - Aware Virtualization e . g . , live migration across administrative domains BSM e . g . , policy - based manag. of service - level agreement
- 12. RESERVOIR Project The Architecture, main Components and Interfaces Cloud and Virtualization to Support Grid Infrastructures VEE Manager VEE Host VEE Host VEE Host VHI Service Provider Service Manager VEE Manager VEE Host Service Provider Service Provider VEE Host VEE Host VHI VMI VMI Infrastructure Provider SMI Infrastructure Provider
- 13. Conclusions Virtualization, cloud, grid and cluster are complementary technologies and will coexist and cooperate at different levels of abstraction Virtualization and cloud do NOT require any modification within service layers from both the administrator and the end-user perspectives Separation between service and infrastructure layer s will allow the application of the utility model to Grid/cluster/HPC computing About the Coexistence of Grid, Virtualization and Clouds Cloud and Virtualization to Support Grid Infrastructures
- 14. THANK YOU FOR YOUR ATTENTION!!! More info, downloads, mailing lists at www.OpenNebula.org Acknowledgements Javier Fontan Rubén S. Montero OpenNebula is partially funded by the “RESERVOIR– Resources and Services Virtualization without Barriers” project EU grant agreement 215605 Tino Vazquez Rafael Moreno www.reservoir-fp7.eu/ Cloud and Virtualization to Support Grid Infrastructures
- 15. Distributed Virtualizer Virtual workernodes Cluster Front-end Physical Infrastructure Cluster users Infrastructure Layer Service Layer Computing Cluster Virtualization Cloud and Virtualization to Support Grid Infrastructures
- 16. Distributed Virtualizer Virtual workernodes Cluster Front-end Physical Infrastructure Cluster users Infrastructure Layer Service Layer User Requests Typical LRMS interface Virtualization overhead Computing Cluster Virtualization Cloud and Virtualization to Support Grid Infrastructures
- 17. Distributed Virtualizer Virtual workernodes Cluster Front-end Physical Infrastructure Cluster users Infrastructure Layer Service Layer Cluster Consolidation Multiple worker nodes in a single resource Dynamic provision rules (inf. adaptation) VMM functionality (e.g. live migration) Computing Cluster Virtualization Cloud and Virtualization to Support Grid Infrastructures
- 18. Distributed Virtualizer Virtual workernodes Cluster Front-end Physical Infrastructure Cluster users Infrastructure Layer Service Layer Cluster Partitioning Performance partitioning (dedicated nodes) Isolate cluster workload Dedicated HA partitions Computing Cluster Virtualization Cloud and Virtualization to Support Grid Infrastructures
- 19. Distributed Virtualizer Virtual rnodes Cluster Front-end Physical Infrastructure Cluster users Infrastructure Layer Service Layer Heterogenous Workloads Dynamic provision of cluster configurations Simultaneous support of different services E.g. on-demand VO workernodes in Grids Web Server HTTP clients Computing Cluster Virtualization Cloud and Virtualization to Support Grid Infrastructures
- 20. OpenNebula Virtual Workernodes Cluster Front-end Local Physical Infrastructure Cluster users Infrastructure Layer Service Layer Cloud Provider Virtual Network Computing Cluster Virtualization Cloud and Virtualization to Support Grid Infrastructures