Smart phones are ubiquitous nowadays and have taken over the bulk data transfers in mobile networks. The next generation phones are even more powerful to handle voice, video and data catering real time multimedia experience. Unfortunately, the increase in service provider capacity has not kept up with the user demand for more bandwidth. It is becoming very expensive for service providers to cater higher bandwidth without investing on new technology or expansion. In this paper we propose a bandwidth optimization algorithm based on cache coherency where the user data transfer is optimized without compromising the user expectation or the need for service providers to expand their capacity. The proposed algorithm is compared with existing data transfer techniques (such as GIT [9]) and we show the efficiency of the proposed method through simulation. We validate the simulation results through two year measured result.

Additional Metadata
Keywords Algorithms, Big Data, Cache Coherency, Cellular networks, Mobile Networks, Optimization, Performance, Simulation
Persistent URL dx.doi.org/10.1109/CCECE.2015.7129477
Conference 2015 28th IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2015
Citation
Ramaprasath, A. (Abhinandan), Srinivasan, A. (Anand), & Lung, C.H. (2015). Performance optimization of big data in mobile networks. In Canadian Conference on Electrical and Computer Engineering (pp. 1364–1368). doi:10.1109/CCECE.2015.7129477