RAKER: Resource-Aware Knowledge Extraction aRchitecture on Mobile Grid

In this paper, we, based on mobile agent technology, propose a resource-aware knowledge extraction architecture on mobile grid, named RAKER. RAKER can dynamically determine the processing and policy for achieving high-performance and high availability of knowledge extracting based on our previous proposed resource estimation model. On the RAKER, users can extract information or knowledge in efficient,effective and transparent way that kept on the mobile grid without caring about the energy consumption that is most important issue in mobile computing. We show the implementation and an example to demonstrate the use of RAKER. In addition, we also measure the latency and the energy consumption and simulate the system availability to show that the performance of RAKER.