An improved staged event driven architecture for master-worker network computing

We propose a new design for Master-Worker network computing systems, called the Master-Worker event driven architecture (MEDA). MEDA is an extension of staged event driven architecture and designed for the goal to meet the dynamic demand of Master-Worker model network computing systems, with support for high concurrency, adaptive resources management and modular construction. In MEDA, applications consist of a network of event-driven stages connected by queues. MEDA makes use of a set of dynamic control mechanisms for automatic tuning and load conditioning. Queuing theory is used for thread management mechanism. Application field extends from stand-alone environment to the wide area network environment through the introduction of network queue. Delay event queue realizes the balance of performance and resource consumption. Priority queue expands the availability of job scheduling strategy and improves system efficiency. From experiments of Drug Discovery Grid, these results show that MEDA systems exhibit higher performance, better reliability than Master-Worker network computing system developed using traditional design.