Scheduling multi-task multi-agent systems
Proceedings of the fifth international conference on Autonomous agents
The Challenges of Mobile Computing
Computer
A Genetic Algorithm for Multiprocessor Scheduling
IEEE Transactions on Parallel and Distributed Systems
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Cloud computing has been the most prevalent technology in the past few years and many prominent enterprises have prompted their cloud systems, preparing for the coming age of cloud computing. We can predict that the mobile area will take on a boom with the advent of this new concept. While due to the inherent characteristics of mobile environment, challenges like mobility, heterogeneity and low band-width will hinder the advancement of this incorporation. In this paper we will introduce a new concept and an abstraction derived from mobile agent-Universal Mobile Service Cell to shield the unequivalence of heterogeneous distributed systems between mobile devices and the cloud. Then scheduling the cell plays a key role in the mobile cloud computing. Here we adopt the Genetic Algorithm to meet this challenge. This paper is aimed at proposing a whole solution from the architecture to the algorithm.