Aggregation based information collection for mobile environments

In the future, we are likely to see a tremendous rise in mobile computing and communications as ubiquitous applications incorporate multimedia information. These mobile multimedia applications will have QoS requirements; resource provisioning algorithms utilize current system resource availability information to ensure that these applications meet their QoS requirements. Information collection algorithms collect and maintain current system resource information and are vital in performing efficient resource provisioning. In this paper, we present a novel information collection technique for mobile environments the ABIC (aggregation-based information collection) algorithm. This algorithm derives aggregate mobility from individual user mobility, then utilizes the aggregation to drive the information collection process and adjust the related parameters in the process. A feedback loop allows the information collection process to utilize feedback from the resource provisioning process in further decision making. We compare the ABIC approach to other proposed information collection algorithms under different workloads and mobility patterns. Our experimental results show that the aggregation based information collection algorithm exhibits superior performance under most mobility criteria and request patterns.