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Virtual cloud

Virtual cloud. R98922135 陳昌毅 R98944033 顏昭恩 R98922150 黃伯淳 2010/06/03. Outline. Goal Introduction Full virtualization Para-virtualization VMware XEN System Diagram Current Progress Future Work Q&A. Goal. Construct cloud platform that provides VM as a service Motivation

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Virtual cloud

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  1. Virtual cloud R98922135 陳昌毅 R98944033 顏昭恩 R98922150 黃伯淳 2010/06/03

  2. Outline • Goal • Introduction • Full virtualization • Para-virtualization • VMware • XEN • System Diagram • Current Progress • Future Work • Q&A

  3. Goal • Construct cloud platform that provides VM as a service • Motivation • A Private cloud platform • Common cloud platform (Eucalyptus, ONE) doesn’t provide migration • Challenge • A convenient environment to migrate VM • Access image through NFS is extremely slow

  4. Related work • XEN • A hypervisor • Virtualization • Eucalyptus • Controller system • NO migration mechanism • OpenNEbula

  5. Innovations • We use a distributed share file system to host VM image. • VM can migrate without a central storage. • Construct VMs as multiple prototypes according to their functionalities.

  6. Why Virtualization • To increase the utilization of costly hardware resources. • Easy to management. • Portability.

  7. XEN • Para-virtualization • Full virtualization (Hardware assisted) • Xend (domain-0)

  8. System Diagram

  9. Share File System Modified Glustre kernel is unstable to work with XEN

  10. Migration • Why we need live migration? We want to move VM without interrupting VM service. Products: • Xen: live migration • VMware:VMotion Two important consideration: 1. Downtime 2. Total migration time

  11. Pre-copy migration

  12. Managed Migration(Xen) • 1st round: • Copy all memory pages to destination machine. • Replace shadow page table to original one, and mark all pages read-only . • Create a dirty bit map for the VM. • 2nd-(n-1)th round: • During the pages transferring, if VM want to modify a page, it will invoke Xen to set the appropriate bit in the dirty bit map. • Dirty pages will be resend again. • Reset dirty bit map for the next round. • nth round: • When the Dirty rate is bigger than up bound, begin to do stop-and-copy.

  13. User Interface

  14. User Interface

  15. Demo- Migration • Source

  16. Demo- Migration • Destination

  17. Hadoop Benchmark • 13 nodes plus a master to sort 8.6GB data. • Local • All images are on local disks. • SFS_local • All images are on local disks and are accessed via Gluster file system. • SFS_remote • All images are on remote disks and are accessed over Gluster file system.

  18. Performance Comparison Seconds

  19. Q&A

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