Skewed allocation of non-uniform data for broadcasting over multiple channels

The problem of data broadcasting over multiple channels consists in partitioning data among channels, depending on data popularities, and then cyclically transmitting them over each channel so that the average waiting time of the clients is minimized. Such a problem is known to be polynomially time solvable for uniform length data items, while it is computationally intractable for non-uniform length data items. In this paper, two new heuristics are proposed which exploit a novel characterization of optimal solutions for the special case of two channels and data items of uniform lengths. Sub-optimal solutions for the most general case of an arbitrary number of channels and data items of non-uniform lengths are provided. The first heuristic, called Greedy+, combines the novel characterization with the known greedy approach, while the second heuristic, called Dlinear, combines the same characterization with the dynamic programming technique. Such heuristics have been tested on benchmark...

• Type: Conference
• Year: 2006
• Where: IPPS
• Authors: Alan A. Bertossi, Maria Cristina Pinotti
• Keywords: Data Items, Distributed And Parallel Computing, IPPS 2006, Length Data Items, Non-uniform Lengths