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Adaptive Polling of Grid Resource Monitors Using a Slacker Coherence Model
Seattle, Washington June 22-June 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HPDC.2003.121003512th IEEE International Symposium on ...
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R. Sundaresan, M. Lauria, T. Kurc, S. Parthasarathy, Joel Saltz, "Adaptive Polling of Grid Resource Monitors Using a Slacker Coherence Model," High-Performance Distributed Computing, International Symposium on, pp. 260, 12th IEEE International Symposium on High Performance Distributed Computing (HPDC-12 '03), 2003.
 
 
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@article{ 10.1109/HPDC.2003.1210035,
author = {R. Sundaresan and M. Lauria and T. Kurc and S. Parthasarathy and Joel Saltz},
title = {Adaptive Polling of Grid Resource Monitors Using a Slacker Coherence Model},
journal ={High-Performance Distributed Computing, International Symposium on},
volume = {0},
year = {2003},
issn = {1082-8907},
pages = {260},
doi = {http://doi.ieeecomputersociety.org/10.1109/HPDC.2003.1210035},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - High-Performance Distributed Computing, International Symposium on
TI - Adaptive Polling of Grid Resource Monitors Using a Slacker Coherence Model
SN - 1082-8907
SP
EP
A1 - R. Sundaresan,
A1 - M. Lauria,
A1 - T. Kurc,
A1 - S. Parthasarathy,
A1 - Joel Saltz,
PY - 2003
KW - null
VL - 0
JA - High-Performance Distributed Computing, International Symposium on
ER -
 
R. Sundaresan, Ohio State University
M. Lauria, Ohio State University
T. Kurc, Ohio State University
S. Parthasarathy, Ohio State University
Joel Saltz, Ohio State University
As Data and Computational Grids grow in size and complexity, the crucial task of identifying, monitoring and utilizing available resources in an ef.cient manner is becoming increasingly difficult. The design of monitoring systems that are scalable both in the number of sources being monitored and in the number of clients served is a challenging issue. In this paper we investigate the trade-offs of different polling strategies that can be used to monitor resource availability on machines in a distributed environment. We show how adaptive polling protocols can substantially increase scalability with a less than proportional loss of precision, and how these protocols can be personalized for different types of resource usage patterns.
Citation:
R. Sundaresan, M. Lauria, T. Kurc, S. Parthasarathy, Joel Saltz, "Adaptive Polling of Grid Resource Monitors Using a Slacker Coherence Model," hpdc, pp.260, 12th IEEE International Symposium on High Performance Distributed Computing (HPDC-12 '03), 2003
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