Open Access   Article Go Back

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.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS 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.

BibTex Style Citation:
@article{Sen_2019,
author = {P. Sen, D.Sarddar, S.K. Sinha, R. Pandit},
title = {Web Service Scheduling in Multi-Cloud Environment},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2019},
volume = {7},
Issue = {1},
month = {1},
year = {2019},
issn = {2347-2693},
pages = {30-38},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3457},
doi = {https://doi.org/10.26438/ijcse/v7i1.3038}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i1.3038}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3457
TI - Web Service Scheduling in Multi-Cloud Environment
T2 - International Journal of Computer Sciences and Engineering
AU - P. Sen, D.Sarddar, S.K. Sinha, R. Pandit
PY - 2019
DA - 2019/01/31
PB - IJCSE, Indore, INDIA
SP - 30-38
IS - 1
VL - 7
SN - 2347-2693
ER -

VIEWS PDF XML
511 538 downloads 187 downloads
  
  
           

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

References

[1] FeiTeng, “Resource allocation and scheduling models for cloud computing”,EcoleCentrale Paris, 2011.
[2] Han Zhao, Xiaolin Li, “AuctionNet: Market oriented task scheduling in heterogeneous distributedenvironments”, Research Gate,IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd forum, IEEE, pp.1-5, 2010.
[3] Lee, Young Choon, Wang, Chen, Zomaya, Albert Y. and Zhou, Bing Bing, “Profit-Driven Service Request Scheduling in Clouds”, 10th IEEE/ACM International Conference on Cluster,Cloud and Grid Computing, IEEE, pp. 1-13, 2010.
[4] Emeakaroha, V.C., Brandic, I., Maurer, M.andBreskovic, I., “SLA-Aware Application Deployment and Resource Allocation in Clouds”,IEEE 31st Annual Computer Software and Applications Conference Workshops, IEEE, pp.1-7, 2011.
[5] Ahuja, R., De, A., Gabrani, G., “SLA Based Scheduler for Cloud for Storage & Computational Services”, International Conference on Computational Science and its Applications.IEEE , 2011.
[6] Daniel, D., Lovesum, S.P.J. “A novel approach for scheduling service request in cloud with trust monitor”, International Conference on Signal Processing, IEEE , 2011.
[7] Boloor, K., Chirkova, R., Salo, T., Viniotis, Y., "Heuristic-Based Request Scheduling Subject to a Percentile Response Time SLA in a Distributed Cloud",GLOBECOM , IEEE, 2010.
[8] Luqun Li, "An Optimistic Differentiated Service Job Scheduling System for Cloud Computing Service Users and Providers",2009 Third International Conference on Multimedia and Ubiquitous Engineering, IEEE, pp.1-5, 2009.
[9] Qi Zhang, Quanyan Zhu, Boutaba, R., “Dynamic Resource Allocation for Spot Markets in Cloud Computing Environments”, 2011 Fourth IEEE International Conference on Utility and Cloud Computing, IEEE, pp.1-6, 2012.
[10] Thomas A. Henzinger, Anmol V. Singh, Vasu Singh, Thomas Wies, Damien Zufferey, “Static Schedling in Clouds”, Austria,IST Austria, pp.1-6.
[11] Zhongyuan Lee, Ying Wang, Wen Zhou, “A dynamic priority scheduling algorithm on service request scheduling in cloud computing”,Proceedings of 2011 International Conference on Electronic and Mechanical Engineering and Information Technology, IEEE, 2011.
[12] L. Zeng, B. Benatallah, M. Dumas, J. Kalagnanam, and Q.Sheng, “Quality driven web services composition,” In Proc. of the 12th WWW Conference, pp.411 –421, 2003.
[13] Lifeng Ai, Maolin Tang, Colin Fidge., “Resource allocation and scheduling of multiple composite web services in cloud computing using cooperative coevolution genetic algorithm”, Neurak Information Processing, Lectures Notes in Computer Science, Volume 7063, pp.258 –267, 2011.
[14] B. Urgaonkar, P. Shenoy, A. Chandra, and P. Goyal., “Dynamic provisioning of multi-tier internet applications,” In Proc. of the IEEE Int’l Conference on Autonomic Computing, pp.217 –228, 2005.
[15] Weissman, J. B., Grimshaw, A. S, A Federated model for scheduling in wide Area systems, Proceedings of the 5th IEEE International Symposium on High Performance Distributed Computing , pp.542, 1996.
[16] R. Raman, MironLivny, and M. Solomon, "Resource Management through Multilateral Matchmaking", Proceedings of the Ninth IEEE Symposium on High Performance Distributed Computing (HPDC9), Pittsburgh, Pennsylvania, August, pp.290-291, 2000.