QADR with Energy Consumption for DIA in Cloud?

In today’s IT field scalability on storage resources are provided by cloud computing. Moreover data-intensive applications are also developed in this technology. Occurrence of data Corruption on these DIA (data intensive applications) does not meet the QoS Requirements. So in order to satisfy the requirements, we are comparing two algorithms from existing paper one is HQFR which uses the greedy algorithms. HQFR algorithm cannot minimize the cost of data replication and the count of QoS violated data replicas. These two objectives of QADR problem has been achieved by using MCMF algorithm which provides an optimal solution in polynomial time. But when compared to HQFR algorithm its computation time is high, since we have to consider more number of nodes as it is in cloud environment. To find a solution for this time complexity, Combination of nodes?Technique has been introduced in MCMF. Demonstration of these algorithms has been implemented under Windows Azure environment which provides comparatively good results for data replication. Further this implementation has been extended to concern energy consumption in cloud environment.