“An Adaptive Technique to Find Pricing & Repurchasing of Cloud Space in Big Data.”

Information Technology

Processing streaming big data becomes critical as new diver Internet of Thing applications begin to emerge. Here a cloud service intermediary rents the cloud service from multiple cloud providers and provides streaming processing service to the users with multiple service interfaces. Depending upon the usage access of the user we are going to allocate the package for the particular user depending upon the multi-cloud data downloaded from the Online Server. Clustering algorithm is used for processing huge data using the MapReduce Technology and MapReduce Algorithm. We provide an excellent way for the user to interact with their cloud system using pricing and repurchasing of their cloud usage package. We also evaluate our pricing strategy with extensive simulations and compare its revenue with our pricing strategies.The intermediary can repurchase the sparse capacity with dynamic rate per load which depends on the duration time and the amount of sparse resources that the users hold. The intermediary can choose different prices to users for different users according to the amount and time of computing resources rented.

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