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Execution cost minimization scheduling algorithms for deadline-constrained parallel applications on heterogeneous clouds

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成果类型:
期刊论文
作者:
Chen, Weihong;Xie, Guoqi*;Li, Renfa;Li, Keqin
通讯作者:
Xie, Guoqi
作者机构:
[Xie, Guoqi; Li, Renfa; Chen, Weihong] Hunan Univ, Coll Comp Sci & Elect Engn, Changsha, Peoples R China.
[Chen, Weihong] Hunan City Univ, Coll Informat & Elect Engn, Yiyang, Peoples R China.
[Xie, Guoqi; Li, Renfa] Key Lab Embedded & Network Comp Hunan Prov, Changsha, Peoples R China.
[Li, Keqin] SUNY Albany, Dept Comp Sci, New Paltz, NY 12561 USA.
通讯机构:
[Xie, Guoqi] H
[Xie, Guoqi] K
Hunan Univ, Coll Comp Sci & Elect Engn, Changsha, Peoples R China.
Key Lab Embedded & Network Comp Hunan Prov, Changsha, Peoples R China.
语种:
英文
关键词:
Cost optimization;DAG scheduling;Deadline constraint;Heterogeneous clouds;Workflows
期刊:
Cluster Computing
ISSN:
1386-7857
年:
2021
卷:
24
期:
2
页码:
701-715
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China [61672217, 61602164, 61702172]; Natural Science Foundation of Hunan Province, ChinaNatural Science Foundation of Hunan Province [2018JJ3076, 2018JJ2063]; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities
机构署名:
本校为其他机构
院系归属:
信息与电子工程学院
摘要:
The problem of minimizing the execution monetary cost of applications on cloud computing platforms has been studied recently, and satisfying the deadline constraint of an application is one of the most important quality of service requirements. Previous method of minimizing the execution monetary cost of deadline-constrained applications was the “upward” approach (i.e., from exit to entry tasks) rather than combining the “upward” and “downward” approaches. In this study, we propose monetary cost optimization algorithm (DCO/DUCO) by employ...

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