RESOURCE-AWARENESS: A STRATEGY FOR RESOURCE OPTIMIZATION AND RELEVANT SERVICE DISCOVERY IN AD-HOC MOBILE CLOUD

摘要

The challenges of limitation in devices? resources and dynamic context is an inherent characteristic of mobile environments. These challenges have strong implication on service discovery efficiency. While service discovery operations may create resource-burden on mobile devices, service-relevance is impacted by changes in device context. Generally, discovery mechanisms aim to discover services relevant to consumers? requirements hence service-relevance is based on service functionalities. However, due to changing context in mobile environments, service functionalities alone are insufficient to address service-relevance with regards to resource capability. Consequently, discovered services may fail to match the resource capabilities of client devices, leading to resources wastage. Addressing this challenge requires proactive discovery mechanisms that can adapt to context change based on devices? resource capabilities and service functionalities. In this paper we designed and prototyped an adaptive service discovery mechanism. The mechanism monitors client devices to collect context data used to adapt to changing resource-context before discovering services. This approach recorded high precision and recall rates and reduced processing time, while relative quality of service discovery was significantly enhanced - meaning resource usage in optimized.