Increasing application performance in virtual environments through run-time inference and adaptation

Ananth I. Sundararaj, Ashish Gupta, Peter A Dinda

Research output: Contribution to journalConference articlepeer-review

39 Scopus citations

Abstract

Virtual machine distributed computing greatly simplifies the use of widespread computing resources by lowering the level of abstraction, benefiting both resource providers and users. Towards that end our Virtuoso middleware closely emulates the existing process of buying, configuring and using physical machines. Virtuoso's VNET component is a simple and efficient layer two virtual network tool that makes these virtual machines (VMs) appear to be physically connected to the home network of the user while simultaneously supporting arbitrary topologies and routing among them. Virtuoso's VTTIF component continually infers the communication behavior of the application running in a collection of VMs. The combination of overlays like VNET and inference frameworks like VTTIF has great potential to increase the performance, with no user or developer involvement, of existing, unmodified applications by adapting their virtual environments to the underlying computing infrastructure to best suit the applications. We show here how to use the continually inferred application topology and traffic to dynamically control three mechanisms of adaptation, VM migration, overlay topology, and forwarding to significantly increase the performance of two classes of applications, bulk synchronous parallel applications and transactional web ecommerce applications.

Original languageEnglish (US)
Pages (from-to)47-58
Number of pages12
JournalProceedings of the IEEE International Symposium on High Performance Distributed Computing
StatePublished - 2005
Event14th IEEE International Symposium on High Performance Distributed Computing, HPDC-14 - Research Triangle Park, NC, United States
Duration: Jul 24 2005Jul 27 2005

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications

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