A multi-site resource allocation strategy in computational grids

被引：0

作者：

Yang, Chao-Tung ^{[1
]}

Chen, Sung-Yi ^{[1
]}

机构：

[1] Tunghai Univ, High Performance Comp Lab, Dept Comp Sci & Informat Engn, Taichung 40704, Taiwan

来源：

ADVANCES IN GRID AND PERVASIVE COMPUTING, PROCEEDINGS | 2008年 / 5036卷

关键词：

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This work presents a multi-site resource allocation (MSRA) strategy for grid resource broker to dispatch jobs to appropriate resources across multiple different administrative domains on a computational grid. The experimental result shows that MSRA can obtain better performance than other strategies. We use the Ganglia and NWS tools to monitor resource status and network-related information, respectively. The proposed grid resource broker provided secure, updated information about available resources and served as a link to the diverse systems available in the Grid.

引用

页码：199 / 210

页数：12

共 50 条

[41] A capacity allocation and expansion model for TFT-LCD multi-site manufacturing
Chen, Tzu-Li
Chen, Yin-Yann
Lu, Hao-Chun
[J]. JOURNAL OF INTELLIGENT MANUFACTURING, 2013, 24 (04) : 847 - 872
[42] Capacity Allocation and Expansion for Multi-Generation & Multi-Site TFT-LCD Manufacturing
Lin, James T.
Chen, Tzu-Li
Chu, Hsiao-Ching
[J]. ICPOM2008: PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE OF PRODUCTION AND OPERATION MANAGEMENT, VOLUMES 1-3, 2008, : 1743 - 1749
[43] Resource Allocation and Strategy
Maritan, Catherine A.
Lee, Gwendolyn K.
[J]. JOURNAL OF MANAGEMENT, 2017, 43 (08) : 2411 - 2420
[44] A resource brokering infrastructure for computational grids
Al-Theneyan, A
Mehrotra, P
Zubair, M
[J]. HIGH PERFORMANCE COMPUTING - HIPC 2002, PROCEEDINGS, 2002, 2552 : 463 - 473
[45] A new approach for the multi-site resource-constrained project scheduling problem
Stiti, Cyrine
Driss, Olfa Belkahla
[J]. CENTERIS2019--INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS/PROJMAN2019--INTERNATIONAL CONFERENCE ON PROJECT MANAGEMENT/HCIST2019--INTERNATIONAL CONFERENCE ON HEALTH AND SOCIAL CARE INFORMATION SYSTEMS AND TECHNOLOGIES, 2019, 164 : 478 - 484
[46] Using a multi-agent system to optimise resource utilisation in multi-site manufacturing facilities
Lim, Ming K.
Tan, Kim
Leung, Stephen C. H.
[J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2013, 51 (09) : 2620 - 2638
[47] MULTI-SITE INTRADERMAL AND MULTI-SITE SUBCUTANEOUS RABIES VACCINATION - IMPROVED ECONOMICAL REGIMENS
WARRELL, MJ
SUNTHARASAMAI, P
NICHOLSON, KG
WARRELL, DA
CHANTHAVANICH, P
VIRAVAN, C
SINHASENI, A
PHANFUNG, R
XUEREF, C
VINCENTFALQUET, JC
[J]. LANCET, 1984, 1 (8382): : 874 - 876
[48] Multi-agent Approach to Computational Resource Allocation in Edge Computing
Kovtunenko, Alexey
Timirov, Marat
Bilyalov, Azat
[J]. INTERNET OF THINGS, SMART SPACES, AND NEXT GENERATION NETWORKS AND SYSTEMS, NEW2AN 2019, RUSMART 2019, 2019, 11660 : 135 - 146
[49] Resource Allocation with Multi-Unit Items: Representation and Computational Results
Dang Nguyen Le
Ngoc-Khuong Nguyen
Trung Thanh Nguyen
[J]. 2017 4TH NAFOSTED CONFERENCE ON INFORMATION AND COMPUTER SCIENCE (NICS), 2017, : 60 - 65
[50] Multi-agent interaction for optimal resource allocation in computational grid
Li, CL
Lu, ZD
Li, LY
[J]. PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2004, : 31 - 36

← 1 2 3 4 5 →