Evaluation of Parallel Algorithms of Traffic Volume Statistics per Cell in Cellular Network Based on MapReduce Programming Model

Abstract:

Understanding traffic per unit time in cell dimension in cellular data network can be of great help for mobile operators to improve the performance of the cellular data network. It is important for network design and resource optimization. In this paper, we describe three methods to count the traffic per unit time per cell. Moreover, we compare the results of the three methods by the deviation distribution of the traffic and time complexity analysis. Our work is distinguished from other related work by using big data which contains around 1.4 billion records and 20 thousands cells. Generally, we expect this paper could deliver important insights into cellar data network resource optimization.

• Periodical: Applied Mechanics and Materials (Volumes 401-403)
• Pages: 1859-1863
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.401-403.1859
• Online since: September 2013
• Authors: Qing Yang, Jun Liu, Huan Wang, Wen Li Zhou, Hua Yu
• Keywords: Big Data, MapReduce, Time Complexity, Traffic 5-Minute per GPRS Cell

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