Journal of Computer Science

Evaluating the Performance of Equitable Dominating based Content Distribution Network Design

Amutharaj Joyson and Radhakrishnan Shanmugasundaram

DOI : 10.3844/jcssp.2011.1284.1294

Journal of Computer Science

Volume 7, Issue 8

Pages 1284-1294


Problem statement: In this study, we considered an efficient and resilient large file content push problem in a large scale distributed content delivery networks and investigated the Quality of Service (QoS) requirements for content distribution. We investigated the effect of equitable dominating set in SON formation and how it was useful in reducing the redundancy? Approach: At first, we constructed an equitable dominating set based semantic overlay network of surrogate servers to form the logical infrastructure of the CDN by choosing the optimal number of surrogate servers. Then we proposed a novel Efficient Fault Resilient Replica Algorithm (EFRRA) to replicate the content from the origin server to the dominant set of surrogate servers in an efficient and reliable manner. Results: We assessed the efficiency and resiliency of the proposed EFRRA algorithm by conducting simulation experiments and compared its performance with traditional content replication algorithms stated in the literature. We extended the simulation experiments to analyze the role of EDSON in maintaining uniform CDN utility of above 0.9. Conclusion: It also observed that equitable dominating set based SON was useful in keeping the average replication time stable and much more predictable. We also investigated the quality of service requirements for the content distribution and evaluated the performance of EDSON based CDN in terms of mean response time, mean CDN utility, latency and hit ratio percentage.


© 2011 Amutharaj Joyson and Radhakrishnan Shanmugasundaram. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.