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Empirical Studies on the Behavior of Resource Availability in Fine-Grained Cycle Sharing Systems
Columbus, Ohio August 14-August 18
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPP.2006.392006 International Conference on Para ...
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Xiaojuan Ren, Rudolf Eigenmann, "Empirical Studies on the Behavior of Resource Availability in Fine-Grained Cycle Sharing Systems," Parallel Processing, International Conference on, pp. 3-11, 2006 International Conference on Parallel Processing (ICPP'06), 2006.
 
 
BibTex
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@article{ 10.1109/ICPP.2006.39,
author = {Xiaojuan Ren and Rudolf Eigenmann},
title = {Empirical Studies on the Behavior of Resource Availability in Fine-Grained Cycle Sharing Systems},
journal ={Parallel Processing, International Conference on},
volume = {0},
year = {2006},
issn = {0190-3918},
pages = {3-11},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPP.2006.39},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Parallel Processing, International Conference on
TI - Empirical Studies on the Behavior of Resource Availability in Fine-Grained Cycle Sharing Systems
SN - 0190-3918
SP3
EP11
A1 - Xiaojuan Ren,
A1 - Rudolf Eigenmann,
PY - 2006
KW - null
VL - 0
JA - Parallel Processing, International Conference on
ER -
 
Xiaojuan Ren, Purdue University, USA
Rudolf Eigenmann, Purdue University, USA
Fine-Grained Cycle Sharing (FGCS) systems aim at utilizing the large amount of computational resources available on the Internet. In FGCS, host computers allow guest jobs to utilize the CPU cycles if the jobs do not significantly impact local host users. Such resources are generally provided voluntarily and their availability fluctuates highly. Guest jobs may fail unexpectedly, as resource becomes unavailable. We present empirical studies on the detection and predictability of resource availability in FGCS systems. A multi-state availability model is derived from a study of resource behavior. The model combines generic hardwaresoftware failures with domain-specific resource behavior in FGCS. To understand the predictability, we traced resource availability in a production FGCS system for three months. We found that the daily patterns of resource availability are comparable to those in recent history. This observation suggests the feasibility of predicting future resource availability, which can be applied for proactive management of guest jobs.
Citation:
Xiaojuan Ren, Rudolf Eigenmann, "Empirical Studies on the Behavior of Resource Availability in Fine-Grained Cycle Sharing Systems," icpp, pp.3-11, 2006 International Conference on Parallel Processing (ICPP'06), 2006
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