Distributed file system virtualization techniques supporting on-demand Virtual Machine environments for grid computing

Ming Zhao, Jian Zhang, Renato J. Figueiredo

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

This paper presents a data management solution which allows fast Virtual Machine (VM) instantiation and efficient run-time execution to support VMs as execution environments in Grid computing. It is based on novel distributed file system virtualization techniques and is unique in that: (1) it provides on-demand cross-domain access to VM state for unmodified VM monitors; (2) it enables private file system channels for VM instantiation by secure tunneling and session-key based authentication; (3) it supports user-level and write-back disk caches, per-application caching policies and middleware-driven consistency models; and (4) it leverages application-specific meta-data associated with files to expedite data transfers. The paper reports on its performance in wide-area setups using VMware-based VMs. Results show that the solution delivers performance over 30% better than native NFS and with warm caches it can bring the application-perceived overheads below 10% compared to a local-disk setup. The solution also allows a VM with 1.6 GB virtual disk and 320 MB virtual memory to be cloned within 160 seconds for the first clone and within 25 seconds for subsequent clones.

Original languageEnglish (US)
Pages (from-to)45-56
Number of pages12
JournalCluster Computing
Volume9
Issue number1
DOIs
StatePublished - Jan 2006
Externally publishedYes

Keywords

  • Distributed file system
  • Grid computing
  • Virtual machine

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications

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