Reliability-Aware Multi-Objective Memetic Algorithm for Workflow Scheduling Problem in Multi-Cloud System
With the development of cloud computing, multi-cloud systems have become common platforms for hosting and executing workflow applications in recent years. However, the complexity of workflow scheduling increases exponentially because of the diversified billing mechanisms, heterogeneous virtual machi...
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| Vydáno v: | IEEE transactions on parallel and distributed systems Ročník 34; číslo 4; s. 1343 - 1361 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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New York
IEEE
01.04.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 1045-9219, 1558-2183 |
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| Abstract | With the development of cloud computing, multi-cloud systems have become common platforms for hosting and executing workflow applications in recent years. However, the complexity of workflow scheduling increases exponentially because of the diversified billing mechanisms, heterogeneous virtual machines, and reliability of multi-cloud systems. This article focuses on a multi-objective workflow scheduling problem in multi-cloud systems (MOWSP-MCS). The makespan, cost, and reliability are considered the optimization objectives from the perspective of users. Compared with the classical multi-objective workflow scheduling in the cloud environment, MOWSP-MCS allows users to apply the backup technique to improve reliability. To solve the MOWSP-MCS, this article proposes a reliability-aware multi-objective memetic algorithm (RA-MOMA) containing a diversification strategy and intensification strategy. In the diversification strategy, several problem-specific genetic operators are introduced to construct the diversified offspring individuals. In the intensification strategy, four problem-specific neighborhood operators are designed based on the critical path and resource utilization rate to improve the quality of the individuals in the archive set. A comprehensive numerical experiment is conducted to evaluate the effectiveness of RA-MOMA. The comparisons with several related algorithms demonstrate the superiority of RA-MOMA for solving the MOWSP-MCS. |
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| AbstractList | With the development of cloud computing, multi-cloud systems have become common platforms for hosting and executing workflow applications in recent years. However, the complexity of workflow scheduling increases exponentially because of the diversified billing mechanisms, heterogeneous virtual machines, and reliability of multi-cloud systems. This article focuses on a multi-objective workflow scheduling problem in multi-cloud systems (MOWSP-MCS). The makespan, cost, and reliability are considered the optimization objectives from the perspective of users. Compared with the classical multi-objective workflow scheduling in the cloud environment, MOWSP-MCS allows users to apply the backup technique to improve reliability. To solve the MOWSP-MCS, this article proposes a reliability-aware multi-objective memetic algorithm (RA-MOMA) containing a diversification strategy and intensification strategy. In the diversification strategy, several problem-specific genetic operators are introduced to construct the diversified offspring individuals. In the intensification strategy, four problem-specific neighborhood operators are designed based on the critical path and resource utilization rate to improve the quality of the individuals in the archive set. A comprehensive numerical experiment is conducted to evaluate the effectiveness of RA-MOMA. The comparisons with several related algorithms demonstrate the superiority of RA-MOMA for solving the MOWSP-MCS. |
| Author | Chen, Yang Shao, Zhongshi Pi, Dechang Qin, Shuo Xu, Yue |
| Author_xml | – sequence: 1 givenname: Shuo orcidid: 0000-0003-1751-9821 surname: Qin fullname: Qin, Shuo email: qinshuo@nuaa.edu.cn organization: College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China – sequence: 2 givenname: Dechang orcidid: 0000-0002-6593-4563 surname: Pi fullname: Pi, Dechang email: dc.pi@nuaa.edu.cn organization: College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China – sequence: 3 givenname: Zhongshi orcidid: 0000-0001-9014-3846 surname: Shao fullname: Shao, Zhongshi email: shaozhongshi@hotmail.com organization: School of Computer Science, Shaanxi Normal University, Xi'an, China – sequence: 4 givenname: Yue orcidid: 0000-0001-7577-1756 surname: Xu fullname: Xu, Yue email: ayue@nuaa.edu.cn organization: College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China – sequence: 5 givenname: Yang orcidid: 0000-0001-5239-9816 surname: Chen fullname: Chen, Yang email: shawn.cy@nuaa.edu.cn organization: College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China |
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| SubjectTerms | Algorithms Amplification Cloud computing Costs Critical path Memetic algorithm multi-cloud systems multi-objective optimization Multiple objective analysis Operators Optimization Reliability Resource utilization Schedules Scheduling Task analysis Virtual environments workflow scheduling Workflow software |
| Title | Reliability-Aware Multi-Objective Memetic Algorithm for Workflow Scheduling Problem in Multi-Cloud System |
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