Resource allocation optimization in cloud computing using the whale optimization algorithm

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Hosseini Seyed Hasan; Vahidi Javad; Kamel Tabbakh Seyed Reza; Shojaei Ali Asghar

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: INTERNATIONAL JOURNAL OF NONLINEAR ANALYSIS AND APPLICATIONS Year:2021 | Volume:12 | Issue:Special Issue Page(s): 343-360

Download Full-Text

View:

Download:

Cites:

Information Journal Paper

Title

Resource allocation optimization in cloud computing using the whale optimization algorithm

Author(s)

Hosseini Seyed Hasan | Vahidi Javad | Kamel Tabbakh Seyed Reza | Shojaei Ali Asghar | Issue Writer Certificate

Keywords

cloud computing

Makespan

Task

Resource

whale optimization algorithm

Abstract

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.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans