A Cooperative Cell Model in Computational Mobile Grid

Abstract

Computation in the mobile grid nodes under the cellular network environment requires an efficient management of wireless channels along with the user mobility. Due to random movement of the mobile devices, the load over the cells in terms of initiation of new computation or carryover computation (handoff) may vary dynamically. This may result in non-availability of free channels for Inter-task communication leading in the drop of carryover computation or to initiate the new computation in the current cell. The proposed work designs a model by instigating substantive cooperation among underutilized and the overloaded cells, considering importance to the frequency reuse and assigning priority to the on-going computation in the computational mobile grid. The model seeks cooperation by grouping the cells in different sizes to reduce the blocking and dropping of the computation. Blocking of the communication is very serious in computational mobile grid environment as the drop may result in the termination of the computation. The model aims at minimizing the Call Block Probability (CBP) and Call Drop Probability (CDP) in the mobile grid by making the clusters of different sizes. A simulation experiment to evaluate the performance of the proposed model reveals the effectiveness of this model.

Energy-efficient job stealing for CPU-intensive processing in mobile devices

“…Firstly, mobile devices were proposed as visualization and management devices of this kind of environments [13]. Although some researchers still put mobile devices only in this role [19], others are studying mobile devices capabilities for scientific computing [21,32,43]. These researches aim at not only determining whether mobile devices are capable of executing scientific computation tasks, but also providing guidelines of how to implement this kind of software efficiently.…”