By Topic

Virtualizing Modern High-Speed Interconnection Networks with Performance and Scalability

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Bo Li ; Nat. Res. Center for Intell. Comput. Syst., Chinese Acad. of Sci., Beijing, China ; Zhigang Huo ; Panyong Zhang ; Dan Meng

As one of the most important enabling technologies of cloud computing, virtualization brings to HPC good manageability, online system maintenance, performance isolation and fault isolation. Furthermore, previous study on VMM-bypass I/O that virtualizes OS-bypass networks (e.g. InfiniBand) relieved the worry of performance degradation coming along with virtualization. In this paper, we address the scalability challenges imposed upon OS-bypass networks under virtualized environments. The eXtended Reliable Connection (XRC) transport, proposed in modern high-speed interconnection networks to address the scalability problem in large scale applications, would not work in virtualized environments. To solve the problem, we propose VM-proof XRC design to eliminate the scalability gap between virtualized and native environments. Prototype evaluation shows that the virtualization of modern high-speed interconnection networks could get the same raw performance and scalability as in native non-virtualized environment with our VM-proof XRC design. The connection memory scalability shows a potential of 16 times improvement on virtualized clusters composed of 16-core nodes.

Published in:

Cluster Computing (CLUSTER), 2010 IEEE International Conference on

Date of Conference:

20-24 Sept. 2010