Based On The Copies Of Skipnet Framework Model

In recent years, cloud computing is a very hot topic. But the complexity of it brings us a big challenge to manage the replicas of the objects. Researchers have also been dedicated to the research of P2P overlay network, and have succeeded in managing nodes and distributing objects. So, in the future, it’s possible to combine cloud computing and some of the P2P techniques to provide a better service for users.Many network applications nowadays need quicker and quicker response speed, and this thesis is aimed at distributing and managing objects effectively on existed P2P overlay network, by which we can get good lookup performance for applications. We hope it can be used in cloud environment. Detailed work is:Firstly, by taking full advantage of SkipNet overlay network and Beehive model proposed by Cornell University, we proposed a SkipNet-based replicas framework model. In this model, we can calculate the number of replicas we should replicate and distribute the replicas on proper nodes according to the popularity of the object. When the popularity changes, the model can adjust the number and position of the replicas. It can also choose different lookup algorithm according to user’s query. Secondly, we designed the SkipNet-based replication framework model reasonably and elaborated the topology of SkipNet and the structure of replication framework. We also proposed the operation mechanism of the model, for example, the adjustment, join, query, update and deletion of the replicas, the join and departure of node and so on. Thirdly, we use PeerSim to simulate, test and analyze the replication framework.According to statistics, most of the queries obey power-law distribution. The results show that in average case, this replication framework achieves O(1)lookup performance even when the Zipf-parameter changes, which provides an effective solution to manage replicas in cloud environment.