Grid Resource Monitoring and Selection for Rapid Turnaround Applications

Kensuke MURAKI; Yasuhiro KAWASAKI; Yasuharu MIZUTANI; Fumihiko INO; Kenichi HAGIHARA

doi:10.1093/ietisy/e89-d.9.2491

Grid Resource Monitoring and Selection for Rapid Turnaround Applications

Kensuke MURAKI, Yasuhiro KAWASAKI, Yasuharu MIZUTANI, Fumihiko INO, Kenichi HAGIHARA

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In this paper, we present a resource monitoring and selection method for rapid turnaround grid applications (for example, within 10 seconds). The novelty of our method is the distributed evaluation of resources for rapidly selecting the appropriate idle resources. We integrate our method with a widely used resource management system, namely the Monitoring and Discovery System 2 (MDS2), and compare our method with the original MDS2 in terms of the performance and the scalability. The performance is measured using a 64-node cluster of PCs and the scalability is analyzed using a theoretical model and the measured performance. The experimental results show that our method reduces the resource selection time by 82%, as compared with the original MDS2. The scalability analysis also indicates that our method can keep the resource selection time within 1 second, up to 500 nodes in local-area-network (LAN) environments. In addition, some simulation results are presented to estimate the impact of our method for wide-area-network (WAN) environments.

Publication: IEICE TRANSACTIONS on Information Vol.E89-D No.9 pp.2491-2501

Publication Date: 2006/09/01

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Online ISSN: 1745-1361

DOI: 10.1093/ietisy/e89-d.9.2491

Type of Manuscript: PAPER

Category: Computer Systems

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Kensuke MURAKI, Yasuhiro KAWASAKI, Yasuharu MIZUTANI, Fumihiko INO, Kenichi HAGIHARA, "Grid Resource Monitoring and Selection for Rapid Turnaround Applications" in IEICE TRANSACTIONS on Information, vol. E89-D, no. 9, pp. 2491-2501, September 2006, doi: 10.1093/ietisy/e89-d.9.2491.
Abstract: In this paper, we present a resource monitoring and selection method for rapid turnaround grid applications (for example, within 10 seconds). The novelty of our method is the distributed evaluation of resources for rapidly selecting the appropriate idle resources. We integrate our method with a widely used resource management system, namely the Monitoring and Discovery System 2 (MDS2), and compare our method with the original MDS2 in terms of the performance and the scalability. The performance is measured using a 64-node cluster of PCs and the scalability is analyzed using a theoretical model and the measured performance. The experimental results show that our method reduces the resource selection time by 82%, as compared with the original MDS2. The scalability analysis also indicates that our method can keep the resource selection time within 1 second, up to 500 nodes in local-area-network (LAN) environments. In addition, some simulation results are presented to estimate the impact of our method for wide-area-network (WAN) environments.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e89-d.9.2491/_p

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@ARTICLE{e89-d_9_2491,
author={Kensuke MURAKI, Yasuhiro KAWASAKI, Yasuharu MIZUTANI, Fumihiko INO, Kenichi HAGIHARA, },
journal={IEICE TRANSACTIONS on Information},
title={Grid Resource Monitoring and Selection for Rapid Turnaround Applications},
year={2006},
volume={E89-D},
number={9},
pages={2491-2501},
abstract={In this paper, we present a resource monitoring and selection method for rapid turnaround grid applications (for example, within 10 seconds). The novelty of our method is the distributed evaluation of resources for rapidly selecting the appropriate idle resources. We integrate our method with a widely used resource management system, namely the Monitoring and Discovery System 2 (MDS2), and compare our method with the original MDS2 in terms of the performance and the scalability. The performance is measured using a 64-node cluster of PCs and the scalability is analyzed using a theoretical model and the measured performance. The experimental results show that our method reduces the resource selection time by 82%, as compared with the original MDS2. The scalability analysis also indicates that our method can keep the resource selection time within 1 second, up to 500 nodes in local-area-network (LAN) environments. In addition, some simulation results are presented to estimate the impact of our method for wide-area-network (WAN) environments.},
keywords={},
doi={10.1093/ietisy/e89-d.9.2491},
ISSN={1745-1361},
month={September},}

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TY - JOUR
TI - Grid Resource Monitoring and Selection for Rapid Turnaround Applications
T2 - IEICE TRANSACTIONS on Information
SP - 2491
EP - 2501
AU - Kensuke MURAKI
AU - Yasuhiro KAWASAKI
AU - Yasuharu MIZUTANI
AU - Fumihiko INO
AU - Kenichi HAGIHARA
PY - 2006
DO - 10.1093/ietisy/e89-d.9.2491
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E89-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2006
AB - In this paper, we present a resource monitoring and selection method for rapid turnaround grid applications (for example, within 10 seconds). The novelty of our method is the distributed evaluation of resources for rapidly selecting the appropriate idle resources. We integrate our method with a widely used resource management system, namely the Monitoring and Discovery System 2 (MDS2), and compare our method with the original MDS2 in terms of the performance and the scalability. The performance is measured using a 64-node cluster of PCs and the scalability is analyzed using a theoretical model and the measured performance. The experimental results show that our method reduces the resource selection time by 82%, as compared with the original MDS2. The scalability analysis also indicates that our method can keep the resource selection time within 1 second, up to 500 nodes in local-area-network (LAN) environments. In addition, some simulation results are presented to estimate the impact of our method for wide-area-network (WAN) environments.
ER -