Huaming Wu
Abstract
We develop a delayed offloading model to leverage the complementary strength of WiFi and cellular networks when choosing heterogeneous wireless interfaces for offloading. Optimality analysis of the energy-delay tradeoff is carried out by using a queueing model with impatient jobs and service interruptions, which captures both energy and performance metrics and also intermittently available access links.
- K. Lee, J. Lee, Y. Yi, I. Rhee, and S. Chong, "Mobile data offloading: How much can wifi deliver?," Networking, IEEE/ACM Transactions on, vol. 21, no. 2, pp. 536--550, 2013. Google Scholar
Digital Library
- F. Mehmeti and T. Spyropoulos, "Performance analysis of "on-the-spot" mobile data offloading," in Global Communications Conference (GLOBECOM), 2013 IEEE, pp. 1577--1583, IEEE, 2013.Google Scholar
- E. Hyytiä, T. Spyropoulos, and J. Ott, "Optimizing offloading strategies in mobile cloud computing," 2013.Google Scholar
- F. Mehmeti and T. Spyropoulos, "Is it worth to be patient? analysis and optimization of delayed mobile data offloading," in INFOCOM, 2014 Proceedings IEEE, pp. 2364--2372, IEEE, 2014.Google Scholar
- N. Perel and U. Yechiali, "Queues with slow servers and impatient customers," European Journal of Operational Research, vol. 201, no. 1, pp. 247--258, 2010.Google ScholarCross Ref
Index Terms
- Analysis of the Energy-Response Time Tradeoff for Delayed Mobile Cloud Offloading
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