DATA PLACEMENT AND CACHE MANAGEMENT SCHEME FOR CLOUD DATA SERVICES

Data sharing is managed by the cloud service providers. Data availability and time constrained delivery are managed by the data caching schemes. Latency minimization and network traffic reduction factors are used to improve the quality of cloud services. Cost analysis is performed to manage the transmission and cache process. Data staging and caching operations are handled with cost factors. Data staging process handles the process of data placement under cloud sites. Data caching is performed to improve the data transmission process. Single copy and multiple copy models are used to manage the transmission and caching cost. Upper bound is assigned to control cost under multiple copy based model. Number of service requests and the number of distinct data items are used in the upper bound estimation process. Homogeneous and heterogeneous cost models are used in the data staging process. Optimal data staging algorithm and greedy algorithm are used in the system.The heterogeneous cost model is enhanced with single and multiple copy models. Item based cost model is improved to support bulk data transfer based cost assignment process. Dynamic caching cost optimization is provided in the system. Time dependant cache management cost estimation is improved in the system