Forecast-Founded Haze Bandwidth and Cost Decrease Scheme
Journal Title: International Journal of Science Engineering and Advance Technology - Year 2014, Vol 2, Issue 10
Abstract
In this paper, we present PACK (Predictive ACKs), a novel end-to-end traffic redundancy elimination (TRE) Scheme, designed for Haze computing customers. Haze-Founded TRE needs to apply a judicious use of Haze resources so that the bandwidth cost Decrease combined with the additional cost of TRE computation and storage would be optimized. PACK’s main advantage is its capability of offloading the Hazeserver TRE effort to endclients, 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 Haze elasticity. PACK is Founded 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-Founded applications and network devices. Finally, we analyze PACK benefits for Haze users, using traffic traces from various sources.
Authors and Affiliations
S. Srinivasulu| Department of CSE, Visvodaya Engineering College,Kavali, K. Manoj Kumar| Department of CSE, Visvodaya Engineering College,Kavali
Keywords
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