Grid computing monitoring based on agent

Applications running on these platforms of grid computation execution environment may exhibit diverse and unpredictable performance because of platform heterogeneity and varying resource availability. The ability to monitor and manage distributed computing components is critical for enabling high-performance distributed computing. Monitoring data is needed to determine the source of performance problems and to tune the system and application for better performance. This paper researches and uses technology of agent to design an agent-based architecture. These intelligent agents are used to collect, analysis the performance parameters and metric, and to decide on the required modification on real-time.