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PACK: Prediction-Based Cloud Bandwidth 
and Cost Reduction System 
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.

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Pack prediction based cloud bandwidth and cost reduction system

  • 1. PACK: Prediction-Based Cloud Bandwidth and Cost Reduction System 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.