Research On Task Migration Mechanism Of Mobile Cloud Computing Based On Mobile Agent

With the rapid development of intelligent terminals and cloud computing, mobile cloud computing turns an opportunity of development recently. In mobile cloud computing environment, it’s a problem that for user to achieve the task that hasn’t finished and can’t be executed through the terminal migrating to the cloud platform to execute efficient and quickly so as to realize the effective transfer of resources. In this paper, the task migration mechanism based on mobile Agent for mobile cloud computing is proposed after the research of mobile Agent technology. Among them, the mobile Agent model that adapted to the mobile cloud computing environment is constructed, and the improved task allocation strategy realizes the optimization choice of task execution location, and the improved task migration strategy based on mobile Agent realizes the adaptive selection of task migration path.The research contents include:1. Constructing a model of mobile Agent for the mobile cloud computing. Traditional mobile Agent in the treatment of computing tasks for mobile cloud computing environment often lacks support of related components to access mobile cloud node information, this paper builds a mobile Agent model of mobile cloud computing, all the cloud computing nodes information it gets are based on model composition and system structure respectively for mobile Agent model, finally on the basis of mobile cloud computing mobile Agent task interaction structure it gives the task communication protocol of mobile Agent in detail.2. In the study of task allocation strategy for mobile cloud computing, the paper proposes task allocation mechanism based on the problem that it will explosive the overall goal of task when it determines the task execution position according to the task work and the importance. Among them, the low coupling distribution decomposes the terminal task from complex to simple, task weight solves the judgment problem for task execution site, the subtasks redefines complicated relationship among different subtasks for mobile cloud computing, the task allocation algorithm based on relationship is further spread the task location. The experiment result shows that the later algorithm realizes the optimal choice for subtasks execution placement and reduces the risk due to the task execution position concentrated and easy to exposure the overall goal to a certain extent.3. In the study of adaptive migration strategy based on the mobile Agent, this paper proposes a task adaptive migration strategy aiming at the traditional task migration strategy can’t adaptive the environment change to obtain the global optimal migration path. Among them, the task load achieves the many-to-one encapsulation with mobile Agent for subtasks, task migration Agent achieves the unification collection and management of the node information on mobile cloud computing environment, cloud node distance takes into account influence that the physical distance between the nodes and bandwidth on migration weights, and the task adaptive migration algorithm improves the mobile Agent adaptive selection for task migration path. The experiment result shows that task adaptive migration algorithm consumes the least time and execution efficiency highest, it implements the global optimal for task migration path.