Secure and Confidential Workflow scheduling in hybrid cloud with improved Particle Swarm 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.

MEHRAVARAN M.; Pajoohan M. R.; Adibnia F.

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

Journal Paper

Paper Information

Journal: JOURNAL OF ELECTRONIC AND CYBER DEFENCE Year:2020 | Volume:7 | Issue:4 Page(s): 131-145

Download Full-Text

Persian Verion

View:

474

Download:

Cites:

Information Journal Paper

Title

Secure and Confidential Workflow scheduling in hybrid cloud with improved Particle Swarm optimization algorithm

Author(s)

MEHRAVARAN M. | Pajoohan M. R. | Adibnia F. | Issue Writer Certificate

Keywords

Hybrid cloudQ1

Task schedulingQ1

Security requirements of task and dataQ1

Security strength of resource and communication pathsQ1

Abstract

While private clouds provide high security and low cost for scheduling workflow, public clouds in addition to higher costs, are potentially exposed to the risk of data and computation breach. However, in real world, needs for high performance resources and high capacity storage devices encourage organizations to use resources in public clouds. Task scheduling, therefore, is one of the most important challenges in cloud computing. In this paper, whilst considering the security issue, a new scheduling method is proposed for workflow applications in Hybrid cloud. Specifically, sensitivity of tasks, which has been considered in recent works, as well as security requirement for data and security strength for both resources and channels are taken into account. The proposed scheduling method is implemented in improved Particle Swarm Optimization (PSO-WSCS) algorithm. The goal function, is minimizing the security distance of data and workflow from security strengths of resources and channels such that time and budget constraints are observed. The proposed PSO-WSCS algorithm, which is based on original PSO with some modifications, is compared with three similar scheduling algorithms, namely VNPSO, MPSO and MPSO-SA, in Hybrid cloud. Evaluations show the effectiveness of our algorithm in finding resources whose security aspects have high resemblance to the security requirements. This is displayed by an average improvement of 40% in the studied samples.

Cites

No record.

References

No record.

Cite

APA: Copy

MEHRAVARAN, M., Pajoohan, M. R., & Adibnia, F.. (2020). Secure and Confidential Workflow scheduling in hybrid cloud with improved Particle Swarm optimization algorithm. JOURNAL OF ELECTRONIC AND CYBER DEFENCE, 7(4 ), 131-145. SID. https://sid.ir/paper/362160/en

Vancouver: Copy

MEHRAVARAN M., Pajoohan M. R., Adibnia F.. Secure and Confidential Workflow scheduling in hybrid cloud with improved Particle Swarm optimization algorithm. JOURNAL OF ELECTRONIC AND CYBER DEFENCE[Internet]. 2020;7(4 ):131-145. Available from: https://sid.ir/paper/362160/en

IEEE: Copy

M. MEHRAVARAN, M. R. Pajoohan, and F. Adibnia, “Secure and Confidential Workflow scheduling in hybrid cloud with improved Particle Swarm optimization algorithm,” JOURNAL OF ELECTRONIC AND CYBER DEFENCE, vol. 7, no. 4 , pp. 131–145, 2020, [Online]. Available: https://sid.ir/paper/362160/en

Related Journal Papers