BibTeX:

@article{IJIRSTV2I2048,
     title={Enhancing the Inter-Cloud Data Transfer using Cache Manager},
     author={Lekshmi Mohan and Siva Shankar S},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={2},
     number={2},
     pages={131--136},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV2I2048.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Now a day the importance of “Big Data” analytics is increasing. And the amount of data available over the internet has increased. Here the Hadoop MapReduce has an important role. it is very difficult to scale the inter cloud data transfer. Due to the latency it is very hard to transfer the data through multiple clouds. Here a framework is used; the data is processed in the internal cloud (IC) and external cloud (EC). These features are used to realize the inter-cloud MapReduce. This framework is used to meet the job deadlines as this meets the service level objective(SLO). Inorder to reduce the execution time cache manager is introduced to BStream. By using this we can save the data for the future and the future request for the data can be served faster.

Cache Manager, Data Transfer, Hadoop