Abstract
The resource status of a device in a wireless grid is affected by several factors such as the number of applications in execution, amount of data communication, device mobility, battery power, signal strength, etc. The grid scheduler schedules user applications based on current resource status of a device stored in the grid information server (GIS). Thus, it is very much essential to maintain the correct updated status information at GIS for proper scheduling.
This paper proposes an efficient method for sharing of resource status with GIS using software agents to facilitate the execution of compute intensive tasks that depend more on processor than on memory or bandwidth. At each device, it employs a device agency with three agents called as Status Monitoring Agent, Status Representation Agent, and Status Communication Agent. These agents monitor the changes in resource status, store status information in compact manner, and share the changed status with GIS efficiently so that status accuracy is achieved as well as the bandwidth and memory consumption is reduced. The proposed work is simulated to evaluate the performance parameters such as memory and bandwidth requirements, memory reduction rate and redundancy. It is observed that the proposed work achieved resource status accuracy by sharing relevant status changes in timely manner and reduced bandwidth and memory requirements.