Hosseini, Seyed Hasan, Vahidi, Javad, Kamel Tabbakh, Seyed Reza, Shojaei, Ali Asghar. (1400). Resource allocation optimization in cloud computing using the whale optimization algorithm. هنرهای کاربردی, 12(Special Issue), 343-360. doi: 10.22075/ijnaa.2021.5188
Seyed Hasan Hosseini; Javad Vahidi; Seyed Reza Kamel Tabbakh; Ali Asghar Shojaei. "Resource allocation optimization in cloud computing using the whale optimization algorithm". هنرهای کاربردی, 12, Special Issue, 1400, 343-360. doi: 10.22075/ijnaa.2021.5188
Hosseini, Seyed Hasan, Vahidi, Javad, Kamel Tabbakh, Seyed Reza, Shojaei, Ali Asghar. (1400). 'Resource allocation optimization in cloud computing using the whale optimization algorithm', هنرهای کاربردی, 12(Special Issue), pp. 343-360. doi: 10.22075/ijnaa.2021.5188
Hosseini, Seyed Hasan, Vahidi, Javad, Kamel Tabbakh, Seyed Reza, Shojaei, Ali Asghar. Resource allocation optimization in cloud computing using the whale optimization algorithm. هنرهای کاربردی, 1400; 12(Special Issue): 343-360. doi: 10.22075/ijnaa.2021.5188

Resource allocation optimization in cloud computing using the whale optimization algorithm

International Journal of Nonlinear Analysis and Applications
دوره 12، Special Issue، اسفند 2021، صفحه 343-360    اصل مقاله (569.32 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22075/ijnaa.2021.5188
نویسندگان
Seyed Hasan Hosseini1؛ Javad Vahidi* 2، 3؛ Seyed Reza Kamel Tabbakh4؛ Ali Asghar Shojaei1
1Deportment of Computer Islamic Azad University Neyshabur Branch, Neyshabur, Iran
2Iran University of Science and Technology, Tehran, Iran
3Department of Mathematical Sciences, University of South Africa, UNISA0003, South Africa
4Deportment of Computer Engineering, Mashhad Branch, Islamic Azad University Mashhad, Iran
چکیده
Cloud computing is a massively distributed system in which existing resources interact with user-requested tasks to meet their requests. In such a system, the problem of optimizing Resource Allocation and Scheduling (RAS) is vital, because recourse allocation and scheduling deals with the mapping between recourses and user requests and also is responsible for optimal allocating of tasks to available resources. In the cloud environment, a user may face hundreds of computational resources to do his work. Therefore, manually recourse allocation and scheduling are impossible, and having a schedule between user requests and available recourses seems logical. In this paper, we used Whale Optimization Algorithm (WOA) to solve resource allocation and task scheduling problem in cloud computing to have optimal resource allocation and reduce the total runtime of requested services by users. The proposed algorithm is compared with the other existed algorithms. Results indicate the proper performance of the proposed algorithm than other ones.
کلیدواژه‌ها
Cloud Computing؛ Makespan؛ Task؛ Resource؛ Whale Optimization Algorithm
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