Cost Reduction through TRE System Based on Prediction

Authors

  • Naushin Parveen N Sheikh  M. Tech Scholar, Department of Computer Science & Engineering, Ballarpur Institute of Technology, Ballarpur, Maharashtra, India
  • Sagar M. Bhakre  Assistant Professor, Department of Computer Science & Engineering, Ballarpur Institute of Technology, Ballarpur, Maharashtra, India

Keywords:

Caching, Cloud Computing, Network Optimization, Traffic Redundancy Elimination

Abstract

In this paper, we present PACK (Predictive ACKs), a novel end-to-end traffic redundancy elimination (TRE) system, designed for cloud computing customers. Cloud-based TRE needs to apply a judicious use of cloud resources so that the bandwidth cost reduction combined with the additional cost of TRE computation and storage would be optimized. PACK’s main advantage is its capability of offloading the cloud-server TRE effort to end clients, thus minimizing the processing costs induced by the TRE algorithm. Unlike previous solutions, PACK does not require the server to continuously maintain clients’ status. This makes PACK very suitable for pervasive computation environments that combine client mobility and server migration to maintain cloud elasticity. PACK is based on a novel TRE technique, which allows the client to use newly received chunks to identify previously received chunk chains, which in turn can be used as reliable predictors to future transmitted chunks. We present a fully functional PACK implementation, transparent to all TCP-based applications and network devices. Finally, we analyze PACK benefits for cloud users, using traffic traces from various sources.

References

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International Journal of Scientific Research in Science and Technology

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Published

2017-10-30

Issue

Volume 3, Issue 7, September-October-2017

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Naushin Parveen N Sheikh, Sagar M. Bhakre, " Cost Reduction through TRE System Based on Prediction, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 3, Issue 7, pp.1157-1161, September-October-2017.