A Review on Hybrid Process Partitioning Algorithm for Mobile Cloud Computing

The mobile cloud computing is the evolving branch of mobile and cloud computing which is associated with the task management, application load balancing, online storage of personal data, etc. The proposed model has been designed as the major improvement in the task management or the process offloading in the mobile cloud computing. The proposed model is based upon the earliest finish time combined with cpu time based time analytical function for the process cost evaluation in the given time series. The process cost and communication cost plays the important role in process of task or process offloading. The time cost prediction for the processing cost or the communicaton cost verifies the overhead for the both of the processes and the processes are offloaded only when their communication cost is significantly lesser than the processing cost. The proposed model is expected to solve the problem fo the existing model and to improve the performance of the process partitioning model and offloading. Index Terms : Process partitioin, Process cost precition, Task offloading, directed acyclic graph (DAG), Heterogeneous earliest finish time (HEFT). ISSN: 2348 9510 International Journal Of Core Engineering & Management (IJCEM) Volume 2, Issue 6, September 2015