Data Transfer Scheduling for Maximizing Throughput of Big Data computing in multiple Applications

Abstract

Now a days we can see that the big data computing applications have been to cloud platforms .The big data computing applications need concurrent data transfer among different computing nodes parallel processing among the nodes. We have to find best transfer scheduling technique that will lend to the least data retrieval time and the maximum throughput. The methods that already exist cannot achieve the maximum throughput due to link bandwidths ignorance and the assortment in replication data and paths. In this paper we develop a maximum throughput data transfer scheduling technique to reduce the data retrieval time in big data computing with data replication diversity.

Keywords: Big data, cloud computing, Throughput, data retrieval.