Optimal organization model of P2P computing in the cloud computing era

P2P computing provides many benefits;however,the P2P computing efficiency is limited due to the randomicity of the resource distribution,the Internet's inherent relatively large latency,low bandwidth,and relatively high data transfer cost.Unlike previous works to improve just some aspects of P2P computing in the current style,this paper changes the current computing style to optimize the P2P computing by migrating some peers' computations to computing nodes that have just been born in the emerging cloud computing era.More importantly,this paper formalizes the optimal organization process with a suite of analytical optimization models for both performance and cost.The optimization solution space expands exponentially as the problem scale increases,so this work gives a heuristic for the solution.Experiments demonstrate the effectiveness and efficiency of the heuristic and extensive comparative test results show that these models substantially reduce both the total time and the total cost.