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Enhance performance of web proxy cache cluster using cloud computing

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EN
Abstrakty
EN
Web caching is a crucial technology in Internet because it represents an effective means for reducing bandwidth demands, improving web server availability and reducing network latencies. However, Web cache cluster, which is a potent solution to enhance web cache system’s capability, still, has limited capacity and cannot handle tremendous high workload. Maximizing resource utilization and system capability is a very important problem in Web cache cluster. This problem cannot be solved efficiently by merely using load balancing strategies. Thus, along with the advent of cloud computing, we can use cloud based proxies to achieve outstanding performance and higher resource efficiency, compared to traditional Web proxy cache clusters. In this paper, we propose an architecture for cloud based Web proxy cache cluster (CBWPCC) and test the effectiveness of the proposed architecture, compared with traditional one in term of response time ,resource utilization using CloudSim tool.
Twórcy
  • Department of Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia
  • Department of Information System, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia
Bibliografia
  • 1. Zeng D., Wang F., Liu M. Efficient web content delivery using proxy caching techniques. Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, Aug. 2004, 34(3): 270-280.
  • 2. Mahanti A., Williamson C. Web proxy workload characterization. Technical Report, Department of Computer Science, University of Saskatchewan, February 1999, http://www.cs.usask.ca/faculty/ carey/ papers/workloadstudy.ps
  • 3. Yang Z., Kamata S., Ahrary A. NIR: Content based image retrieval on cloud computing. [In:] Proc. IEEE International Conference on Intelligent Computing and Intelligent Systems, 2009, IEEE Computer Society, Shanghai, China, 2009, p. 556-559.
  • 4. Dornemann T., Juhnke E., Freisleben B. On-Demand Resource Provisioning for BPEL Workflows Using Amazon’s Elastic Compute Cloud. [In:] Proc. of the 9th IEEElACM International Symposium on Cluster Computing and the Grid, IEEE, Shanghai, China, 2009, p. 140-147.
  • 5. Assuncao M., Costanzo A., Buyya R. Evaluating the Cost- Benefit of Using Cloud Computing to Extend the Capacity of Clusters. [In:] Proc. of High Performance Distributed Computing (HPDC), June 2009, p. 141-150.
  • 6. Marshall P., Keahey K., Freeman T. Elastic Site: Using Clouds to Elastically Extend Site Resources. [In:] Proc. of Conference on Cluster, Cloud, and Grid Computing (CCGRID), May 2010.
  • 7. Duan Z.; Gu Z. EWPCC: An elastic Web proxy cache cluster basing on cloud computing. [In:] Proc. of the 3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT), July 2010, 1(9-11): 85-88.
  • 8. Alsaiari N., Fayoumi A. Load Balancing Techniques for Web Proxy Cache Clusters. International Journal of Advanced Research in Computer Science (IJARCS), Sep-Oct 2012, 3(5).
  • 9. Buyya R., Yeo C.S., Venugopal S. Market oriented cloud computing: Vision, hype, and reality for delivering IT services as computing utilities. [In:] Proc. of the 10th IEEE International Conference on Advanced Learning Technologies, July 2010.
  • 10. Rodriguez P., Spanner C., Biersack E.W. Analysis of Web caching architectures: hierarchical and distributed caching. Networking, IEEE/ACM Transactions on, Aug 2001, 9(4): 404-418.
  • 11. CloudSim: A Framework for Modeling and Simulation of Cloud Computing Infrastructures and Services. The Cloud Computing and Distributed Systems (CLOUDS) Laboratory, University of Melbourne, 2011 (available from: http://www. cloudbus.org/cloudsim/)
  • 12. Java software version 7 downloaded from: http:// java.com/en/download/index.jsp (August 2013).
  • 13. Krsul I., Ganguly A., Zhang J. VMPlants: Providing and Managing Virtual Machine Execution Environments for Grid Computing. [In:] Proc. of the ACM/IEEE Conference on Supercomputing, IEEE Computer Society, Pittsburg, PA, USA, 2004: 1-12.
  • 14. Amazon EC2 Pricing. Pay as You Go for Cloud Computing Services. Amazon EC2, n.d. Web. 14 Sept. 2013. <http://aws.amazon.com/ec2/pricing/>
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-565c6d7c-8875-4e1c-ae23-0395fbd680db
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