Multiobjective evolutionary algorithms (MOEA) are an effective tool for solving search and optimization problems containing several incommensurable and possibly conflicting objec...
Network impairments such as delay and packet losses have severe impact on the presentation quality of many predictive video sources. Prior researches (e.g., [1]-[3][5]-[9][11]-[13...
This paper proposes a versatile perceptual audio coding method that achieves high compression ratios and is capable of low encoding/decoding delay. It accommodates a variety of sou...
We formulate end-to-end congestion control as a global optimization problem. Based on this formulation, a class of minimum cost flow control (MCFC) algorithms for adjusting sessio...
In this paper, we study the problem of utility maximization in P2P systems, in which aggregate application-specific utilities are maximized by running distributed algorithms on P2...
Minghua Chen, Miroslav Ponec, Sudipta Sengupta, Ji...