NDLI: Characterizing and evaluating desktop grids: an empirical study

Content Provider	IEEE Xplore Digital Library
Author	Kondo, D. Taufer, M. Brooks, C.L. Casanova, H. Chien, A.A.
Copyright Year	2004
Description	Author affiliation: Dept. of Comput. Sci. & Eng., California Univ., San Diego, La Jolla, CA, USA (Kondo, D.; Taufer, M.)
Abstract	Summary form only given. Desktop resources are attractive for running compute-intensive distributed applications. Several systems that aggregate these resources in desktop grids have been developed. While these systems have been successfully used for many high throughput applications there has been little insight into the detailed temporal structure of CPU availability of desktop grid resources. Yet, this structure is critical to characterize the utility of desktop grid platforms for both task parallel and even data parallel applications. We address the following questions: (i) What are the temporal characteristics of desktop CPU availability in an enterprise setting? (ii) How do these characteristics affect the utility of desktop grids? (iii) Based on these characteristics, can we construct a model of server "equivalents" for the desktop grids, which can be used to predict application performance? We present measurements of an enterprise desktop grid with over 220 hosts running the Entropia commercial desktop grid software. We utilize these measurements to characterize CPU availability and develop a performance model for desktop grid applications for various task granularities, showing that there is an optimal task size. We then use a cluster equivalence metric to quantify the utility of the desktop grid relative to that of a dedicated cluster.
Sponsorship	IEEE Comput. Soc. Tech. Committee on Parallel Processing
File Size	1441017
File Format	PDF
ISBN	0769521320
DOI	10.1109/IPDPS.2004.1302936
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-04-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Availability Aggregates Throughput Application software Computer science Supercomputers Biology computing Computer applications Distributed computing Predictive models
Content Type	Text
Resource Type	Article

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