Open Access   Article

Web Service Scheduling in Multi-Cloud Environment

P. Sen1 , D.Sarddar 2 , S.K. Sinha3 , R. Pandit4

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-1 , Page no. 30-38, Jan-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i1.3038

Online published on Jan 31, 2019

Copyright © P. Sen, D.Sarddar, S.K. Sinha, R. Pandit . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Citation

IEEE Style Citation: P. Sen, D.Sarddar, S.K. Sinha, R. Pandit, “Web Service Scheduling in Multi-Cloud Environment”, International Journal of Computer Sciences and Engineering, Vol.7, Issue.1, pp.30-38, 2019.

MLA Style Citation: P. Sen, D.Sarddar, S.K. Sinha, R. Pandit "Web Service Scheduling in Multi-Cloud Environment." International Journal of Computer Sciences and Engineering 7.1 (2019): 30-38.

APA Style Citation: P. Sen, D.Sarddar, S.K. Sinha, R. Pandit, (2019). Web Service Scheduling in Multi-Cloud Environment. International Journal of Computer Sciences and Engineering, 7(1), 30-38.

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Abstract

Cloud platforms are increasingly being used for hosting a broad diversity of services from traditional ecommerce applications to interactive web-based IDEs. However, we have noticed that the proliferation of offers by service providers promotes several challenges. Developers have to consider migrating services from one cloud to another and manage distributed applications spanning multiple clouds while specific service is not available in single cloud. In this paper, we have introduced a new methodology of web services scheduling in multi-cloud environment based on the request of preferred user services in different time slots of the day. A comparison has been made on the performance and cost of single and multi-cloud environments to show how multi-cloud is more efficient than single cloud and also to conclude that web service scheduling in multi-cloud environment is more efficient than single cloud during service migration.

Key-Words / Index Term

Scheduling, Multi Cloud System, Web Services, Service Scheduling, Service Composition, Web Service Scheduling

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