A distributed system is a collection of different computers to handle large amount of data, the connected computers can share and coordinate their data on network. It is very difficult to for server to handle, analyze & process such a large amount of data, so that the performance of operations performed by these systems is reduced and they will produce inefficient data as a result. To handle this problem this paper has implemented the online predictive approach algorithm which uses time series to monitor process behavior, analyze it and predict the future observations to determine the resources required by the process in future.The resource prediction is used to optimize the data access operations like read, write, uploading and downloading the file to and from distributed system & which will improve the performance of distributed system. Time series is generated for every operation so that client will get performance chart.
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