Research And Implementation Of Service Discovery Approach For Agent-Based Cloud Computing Platform

In recent years, along with the promotion of Google, Microsoft and other large companies cloud computing has become the focus of industry and academic filed. A cloud is distributed technology platforms that leverage sophisticated technology innovations to provide highly scalable and resilient environments, which can be remotely utilized by organizations in a multitude of powerful ways. It is a large pool of easily usable and accessible virtualized resources (such as hardware, development platforms, and services). These resources can be dynamically reconfigured to adjust to a variable load, allowing for optimum resource utilization. Agent-based cloud computing platform is proposed by introducing the Agent on the basis of the cloud platform to enable automatic resources locating and resource management. Agent-based cloud computing is emerging as an important method in many domains, including service discovery, service composition and service negotiation. It achieves autonomous resource allocation and resource management by delegating requests to agents. Agents utilized the obsolete acquaintance network and Service Capability Tables (SCT) to record and schedule agents for service discovery. The approach is unable to perform global service discovery under the intermittent and volatile cloud computing environment.In this paper, we propose a robust service discovery approach with local and global service discovery capabilities. The main work is as follows:(1) We propose the system architecture of Index Based Service Discovery Approach and compared it with SCT.(2) We validate the proposed approach in different granularity of agent network scale. Experimental results demonstrate that our approach outperforms the SCTs based approaches in the aspect of data availability consistently.(3) We design and implement prototype system of the Index Based Service Discovery Approach.