Agent-based Self-Adaptive System for Cloud

There is a need to analyze the appropriate assets/resource requirements and identify the reason for Quality-of-Service (QoS) degradation (if any), and ensure better assets/resource allocation decisions in Cloud computing scenario. In this work, agents are used to achieve the same through the condition of assets/resource at run-time and about expectations by clients. We have developed an agent application learning system for decision making including readily available globalized and localized information, and client assets/resource requirements etc. Results demonstrate that the proposed system can enhance assets/resource utility, while fulfilling the QoS requested by clients.