A Novel Service Broker Policy for e-Governance using Federation of cloud

Authors

  • Gupta A Department of CSE, Sir Padampat Singhania University, Udaipur, Rajassthan, India
  • Dhyani P Department of Computer Science, Banasthali University, Banasthali, Rajasthan, India
  • Rishi OP Department of Computer Science, University of Kota, Kota, Rajasthan, India
  • Pathak V Department of CSE, Birla Institute of Technology, Jaipur Campus, Jaipur, Rajasthan, India

DOI:

https://doi.org/10.26438/ijcse/v6i11.515521

Keywords:

Cloud computing, e-Governance, Cloud Federation, Service Broker Algorithm, Load balancing

Abstract

In the Federated cloud, the load balancing is a main challenge. It distributes uniformly dynamic load among multiple nodes in the distributed system environment. This makes any node not to be overloaded while the other nodes are idle or least load. The proper load balancing techniques improve the performance of cloud and utilize resource efficiently. The present study proposed Extended Performance Optimized Routing Policy service broker algorithm and compares it with the existing service broker algorithms in terms of response time and DC Processing time. The extended Performance Optimized Routing Policy service broker algorithm could be utilized in e-Governance framework that might help to develop the optimal and improved resource utilization. This possesses the scope to accelerate the e-Governance services and distribute the load at the peak hours.

References

[1] Mandeep Kaur, Verender Singh Madra, “ Performance Evaluation of Virtual Machines using Service Broker Policies in Cloud Computing”, In International Journal of Science and Research (IJSR) – Volume 4 Issue 7, July 2015

[2] National Institute of Standards and Technology (NIST), The NIST Definition of Cloud Computing, http://csrc.nist.gov/ publications/ drafts/ 800-145/Draft-SP-800-145_cloud- definition.pdf.

[3] Hetal V. Patel, Ritesh Patel, “ Cloud Analyst: An Insight of Service Broker Policy” In International Journal of Advanced Research in Computer and Communication Engineering Vol. 4 Issue 1, January 2015.

[4] Charalampos Tsaravas, Marinos Themistocleous “ Cloud Computing and EGovernment: A Literature Review”, European Mediterranean & Middle Eastern Conference on Information Systems 2011.

[5] Bhathiya Wickremasinghe and rajkumar Buyya, “ CloudAnalyst: A CloudSim-based tool for Modelling and Analysis of Large scale cloud computing environments,” Distributed computing project, CSE Department, University of Melbourne.

[6] Kunal Kishor, Vivek Thapar, “ An Efficient Service Broker policy for Cloud Computing Environment” In International Journal of Computer Science Trends and Technology (IJCST) – Volume 2 Issue 4, July-Aug 2014.

[7] Vaishali Sharma, “ Efficient Data Center Selection Policy for Service Proximity Service Broker in Cloud Analyst” In International Journal of Innovative Computer Science & Engineering (IJICSE) – Volume 1 Issue 2, 2014.

[8] Dhaval Limbani, Bhavesh Oza, “ A Proposed Service Broker Policy for Data Center Selection in Cloud Environment with Implementation” In Int. J. Computer Technology & Applications Vol 3(3) MAY-JUNE 2012.

[9] Soumya Ray, Ajanta De Sarkar, “ Execution Analysis of Load Balancing Algorithms In Cloud Computing Environment “, In International Journal on Cloud Computing: Services and Architecture ( IJCCSA), Vol.2, No. 5, October 2012.

[10] Ashutosh Gupta, Praveen Dhyani, O.P. Rishi, Vishwambhar Pathak, “ Service Request Approach for e-Governance using Federation of Cloud” In International Journal of Computer Science and Engineering Vol 6, Issue 5 May 2018.

[11] Nguyen Xuan Phi, Cao Trung Tin, Luu Nguyen Ky Thu, Tran Cong Hung, “ Proposed Load balancing Algorithm to reduce response time and processing time on Cloud Computing” In International Journal of Computer Networks & Communications (IJCNC) Vol 10, No. 3, May 2018.

[12] Ankita Sharma, Isha Awasthi, “ Noval technique of load balancing in cloud computing” In International Journal of Computer Applications (0975-8887) Vol 182, No.4, July 2018.

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Published

2025-11-18
CITATION
DOI: 10.26438/ijcse/v6i11.515521
Published: 2025-11-18

How to Cite

[1]
A. Gupta, P. Dhyani, O. Rishi, and V. Pathak, “A Novel Service Broker Policy for e-Governance using Federation of cloud”, Int. J. Comp. Sci. Eng., vol. 6, no. 11, pp. 515–521, Nov. 2025.

Issue

Vol. 6 No. 11 (2018): IJCSE November Edition

Section

Research Article

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