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

Resource Availability Characteristicsand Node Selection in CooperativelyShared Computing Platforms

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

2 Author(s)
Padhye, V. ; Dept. of Comput. Sci., Univ. of Minnesota, Minneapolis, MN, USA ; Tripathi, A.

The focus of our work is on studying the resource availability characteristics of large-scale, cooperatively pooled, shared computing platforms. Our focus is on platforms in which resources at a node are allocated to competing users on fair-share basis, without any reserved resource capacities for any user, and there is no platform-wide resource manager for the placement of users on different nodes. The users independently select nodes for their applications. Our study is focused on the PlanetLab system which exemplifies such platforms. The goal of our study is to develop heuristics based on the observed resource availability characteristics for selecting nodes for deploying applications. Our approach uses the notion of eligibility period, which represents a contiguous duration for which a node satisfies a given resource requirement. We study the characteristics of the eligibility periods of Planetlab nodes for various resource capacity requirements. Based on this study we develop heuristics for identifying nodes that are likely to satisfy a given requirement for long durations. We also develop an online model for predicting the idle resource capacity that is likely to be available on a node over a short term. We evaluate and demonstrate the performance benefits of the node selection techniques and the prediction model using the PlanetLab node utilization data traces collected at different intervals over an extended period of several months.

Published in:

Parallel and Distributed Systems, IEEE Transactions on  (Volume:25 ,  Issue: 4 )

Date of Publication:

April 2014

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.