Moving Target with Load Balancing in P2P Cloud

In this paper we propose a ´moving target´ security mechanism for a P2P cloud where files are partitioned and sensitive sections are moved at different times without modifying the routing or finger tables, to reduce the risk of the file being compromised. Two drawbacks with this approach are the problem of determining the locality of the data and load unbalancing. We present a hierarchical P2P cloud system that leads to scalability and efficiency. A 3-step load balancing scheme for hierarchical P2P cloud system to globally balance the network is proposed. Our simulation results show that our algorithm is effective in achieving load balancing in hierarchical peer-to-peer cloud systems.