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Advanced Resource Sharing in the Cloud

Advanced Resource Sharing in the Cloud. Eiji Kawai NICT. Cloud computing. Goal Cost effectiveness Scale-out Elasticity Methodology Virtualization of every computing resource System elements ( IaaS ) Ex: processor, memory, storage, network, … Middleware services ( PaaS )

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Advanced Resource Sharing in the Cloud

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  1. Advanced Resource Sharingin the Cloud Eiji Kawai NICT

  2. Cloud computing • Goal • Cost effectiveness • Scale-out • Elasticity • Methodology • Virtualization of every computing resource • System elements (IaaS) • Ex: processor, memory, storage, network, … • Middleware services (PaaS) • Ex: database, overlay communication, security, … • Application services (SaaS) • Ex: e-mail, wordprocessor, accounting information system, … AFICT2009

  3. Sharing everything • Benefit of cloud computing is derived from statistical multiplexing • Sharing computing resources among users, applications, and computing systems • Flexible resource sharing to maximize the statistical multiplexing is the key • Storage sharing(virtualization) is a hot topic in data center networks • FC, iSCSI, FCoE, etc • Next step: memory sharing in cloud • Memory price is dropping sharply CPU Bound tohosts Memory Storage Virtualized AFICT2009

  4. Three approachesto large scale memory sharing • Virtual machine migration • Move a guest VM to a host with more free memory • Pro: Easy deployment • Con: High migration cost • Remote memory mapping • Import memory of a remote host into the local virtual memory space • Pro: High manageability • Con: High deployment cost (no de facto implementation) • Shared memory • Programming with memory sharing API • Pro: High flexibility (programmability) • Con: High implementation cost and low manageability AFICT2009

  5. Virtualization of virtual memory • Our approach: mount remote memory as swap device • Physical memory is already virtualized in OS (VM: virtual memory) • Pro: High performance • Con: (straightforward) implementation in kernel VM layer is highly difficult Process Process VM/FS ATA/SCSI VM TCP/IP TCP/IP VM Physical memory Swap device Physical Memory Physical Memory Normal system Extended system AFICT2009

  6. Leveraging LVM and iSCSI • System configuration is highly flexible, thanks to modern LVM (logical volume management) mechanism • Dynamic attachment/detachment of remote memory linked to the memory usage • iSCSI performance in high latency networks is well-studied • Distributed cloud environment Process VM/FS LVM iSCSI VM/FS iSCSI Physical Memory Physical Memory TCP/IP TCP/IP AFICT2009

  7. Performance: sequential access (read) 2.3X-3.3X faster AFICT2009

  8. Performance: random access (read) 17.0x-28.0x faster AFICT2009

  9. Summary • Memory sharing is a forthcoming technology to be deployed in the cloud • We proposed a low-cost memory sharing mechanism with LVM and iSCSI • Future work • Engineering iSCSI performance over long distant networks (including JP-TH JGN2plus network!!) • Memory cluster management mechanisms AFICT2009

  10. Thank you AFICT2009

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