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Application-aware deadline constraint job scheduling mechanism on large-scale computational grid

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成果类型:
期刊论文
作者:
Tang, Xiaoyong;Liao, Xiaoyi*
通讯作者:
Liao, Xiaoyi
作者机构:
[Tang, Xiaoyong; Liao, Xiaoyi] Hunan Agr Univ, Southern Reg Collaborat Innovat Ctr Grain & Oil C, Coll Informat Sci & Technol, Changsha, Hunan, Peoples R China.
[Tang, Xiaoyong] Hunan Univ, Sch Informat Sci & Engn, Changsha, Hunan, Peoples R China.
[Tang, Xiaoyong] Hunan Agr Univ, Coll Informat Sci & Technol, Changsha 410128, Hunan, Peoples R China.
通讯机构:
[Liao, Xiaoyi] H
Hunan Agr Univ, Southern Reg Collaborat Innovat Ctr Grain & Oil C, Coll Informat Sci & Technol, Changsha, Hunan, Peoples R China.
语种:
英文
关键词:
Jobs;Algorithms;Computer software;Network bandwidth;China;Forecasting;Geographic distribution;Genetic algorithms
期刊:
PLOS ONE
ISSN:
1932-6203
年:
2018
卷:
13
期:
11
页码:
e0207596-
基金类别:
National Key Research and Development Program of China [2018YFB0204004]; Hunan Provincial Key Research and Development Program [2018GK2055]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61370098, 61672219]
机构署名:
本校为第一且通讯机构
院系归属:
信息科学技术学院
摘要:
Recently, computational Grids have proven to be a good solution for processing large-scale, computation intensive problems. However, the heterogeneity, dynamics of resources and diversity of applications requirements have always been important factors affecting their performance. In response to these challenges, this work first builds a Grid job scheduling architecture that can dynamically monitor Grid computing center resources and make corresponding scheduling decisions. Second, a Grid job model is proposed to describe the application requirements. Third, this paper studies the characteristi...

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