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Middleware for Grid Computing On Virtual Machines

Middleware for Grid Computing On Virtual Machines. Middleware challenges Virtual Machine = process (VM monitor) + data (VM image and user files) Image and Data Management Creation, storage, and transfer of VM images for dynamic instantiation, and user data Resource Management

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Middleware for Grid Computing On Virtual Machines

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  1. Middleware for Grid Computing On Virtual Machines • Middleware challenges • Virtual Machine = process (VM monitor) + data (VM image and user files) • Image and Data Management • Creation, storage, and transfer of VM images for dynamic instantiation, and user data • Resource Management • Application and resource perspectives • Virtual Networks Computing “In-VIGO” (In Virtual Grid Organizations) • Data management: Grid virtual file systems • Seamless access to decentralized storage services of a grid • User-transparent virtual file systems created on-demand on top of NFS (V2,3) • Supports unmodified binary applications and native O/S clients, servers • Virtualization: • Polymorphism • Manifolding • Multiplexing Virtual resources Physical resources • Resource management • Relational database queries • Resource control via real-time schedules • “Classic” Virtual Machines (VMs) • Many,distinct O/Ss that multiplex a physical resource • E.g. VMware (x86), IBM z/VM (S/390) • Prototype and applications • InVIGO middleware beta (Spring 2003) • Java, Globus, SQL, Apache, VFS • Netcare, nCn, Digital Government, BMI, LSS • Grid computing with VMs1 • Security, isolation • Customization, legacy support • Resource control, site independence Wide-area Testbed Architecture Users: nCn, Netcare, … ‘A’ Virtual back-ends ‘B’ A Service provider ‘S’ B C Y X V1 V2 V3 V4 ‘C’ Internet 64-processor IBM xSeries, VMware Internet (Abilene) Data Server D P1 P2 64-processor IBM xSeries, VMware User ‘X’ Front end ‘F’ Physical server P IBM z800 middleware VM startup Information service data session Image Server I 3.4TB IBM “Shark” 1 “A Case for Grid Computing on Virtual Machines”, R. Figueiredo, P. Dinda, J. Fortes, Proceedings of ICDCS 2003 Northwestern University University of Florida Sponsors Research grants by the National Science Foundation: ANIR NSF Middleware Initiative (NMI), EIA CISE-RR, and by IBM

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