RIS ID
78651
Abstract
The explosion of digital data and the dependence on data-intensive services have been recognized as the most significant characteristics of the decade. Providing efficient mechanisms for optimized data-intensive services will become critical to meet the expected growing demand. In order to create a cost minimizing data-intensive service composition solution, we design two steps and two negotiation processes over the lifetime of a data-intensive service composition. The solution for the first step is presented in this paper. The proposed service selection algorithm is based on a modified genetic algorithm, which some modifications of crossover and mutation operators are adopted in order to escape from local optima. The performance of the algorithm has been tested by simulations.
Publication Details
Wang, L. & Shen, J. (2013). Economical data-intensive service provision supported with a modified genetic algorithm. IEEE 2nd International Congress on Big Data (pp. 358-365). United States: IEEE.