DATA COMPRESSION USING WIRELESS DISTRIBUTED COMPUTING
International Journal of Advance Engineering and Research Development · 2017
Since last decade we have seen an explosive growth in smartphone technology, especially in computational power. Also some users switch their smartphone every one or two year with a new smartphone, while they either do not use their previous phone or use it rarely. We can use this idle computational resources to save energy on our current phone by using wireless distributed computing method. In this approach we distribute a task from the user’s current smartphone to its nearby idle devices in order to save resources such as battery on the user’s device. One such task that takes a lot of cpu and battery resources is compression. A lot of data especially media is generated from smartphones which fill up a user’s device quickly. This may hinder the performance of other applications on the devices. In this paper we discuss how we can offload the task of compression onto nearby devices which will save cpu as well as battery resources and also it will reduce the size of file which consumes less storage space on device.