Cart (Loading....) | Create Account
Close category search window
 

A QoS framework for clusters to support applications with resource adaptivity and predictable performance

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
$31 $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)
Senapathi, S. ; Dept. of Comput. & Inf. Sci., Ohio State Univ., Columbus, OH, USA ; Panda, D.K. ; Stredney, D. ; Han-Wei Shen

Simultaneous advances in processor and network technologies have made clusters of workstations attractive vehicles for high-performance computing. Emerging applications targeted for clusters are inherently interactive and collaborative in nature. These applications demand end-to-end quality of service (QoS) in addition to performance. Achieving predictable performance and ability to exploit resource adaptivity are also common requirements of these next generation applications. Providing QoS mechanisms for clusters to satisfy the demands of next generation applications is a challenging task. We propose a QoS framework that provides bandwidth guarantees for communication within a cluster. The framework consists of a novel network interface card (NIC)-based rate control mechanism and a coordinated admission control/scheduling mechanism. An interface is developed so that applications using the common message passing interface (MPI) standard can specify bandwidth requirements of their flows to the underlying network. The framework is developed and evaluated on a Myrinet cluster testbed for a range of scientific and visualization applications. The experimental evaluations demonstrate the various advantages such as predictability and resource adaptability associated with the framework. The proposed framework is quite unique and is the first of its kind in the literature to support next generation interactive and collaborative applications on clusters.

Published in:

Quality of Service, 2002. Tenth IEEE International Workshop on

Date of Conference:

2002

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.