Communication mechanisms in ecological network-based grid middleware for service emergence
Information Sciences: an International Journal
A bio-inspired emergent system for intelligent Web service composition and management
Knowledge-Based Systems
An antibody network inspired evolutionary framework for distributed object computing
Information Sciences: an International Journal
An immune inspired co-evolutionary affinity network for prefetching of distributed object
Journal of Parallel and Distributed Computing
Context-sensitive trust computing in distributed environments
Knowledge-Based Systems
Economically-motivated decentralized control of eco-network computation platform
HSI'05 Proceedings of the 3rd international conference on Human Society@Internet: web and Communication Technologies and Internet-Related Social Issues
Global stability affected by migration behavior of web entities in the bio-network architecture
AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
A flexible communication scheme to support grid service emergence
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part III
Relationship networks as a survivable and adaptive mechanism for grid resource location
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part I
A Web Service trust evaluation model based on small-world networks
Knowledge-Based Systems
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Next-generation grid systems where the emphasis shifts to distributed global collaboration, a service-oriented approach, and information layer issues exhibit a strong sense of automation. Requirements for these systems resemble the self-organizing and the self-healing properties of natural ecosystems. Inspired by this resemblance, we introduce some key ecological concepts and mechanisms into the design for the third-generation grid systems. In this article, a novel Ecological Network-based Grid Middleware (ENGM), which is based on Ecological Network Computing Environment (ENCE), is proposed. First, we discuss how to design the ENCE by agent-oriented approaches based on the key concepts and principles of ecosystems. ENCE provides a new computing and problem-solving paradigm by combining natural ecosystem mechanisms with agent technologies. Then, we design the ENGM with built-in mechanisms to support desirable requirements of new grid systems, namely scalability, adaptability, self-organization, simplicity, and survivability. Based on Jeffery's conceptual model, we also present a corresponding grid-computing prototype that embeds ENGM layers from the implementation point of view. The ENGM will be useful to address the challenges of the third-generation grid systems. Finally, as a demonstration, we built an ENGM platform-based commercial grid service environment and developed a prototype of enterprise supply chain management system. The experimental results demonstrate that the proposed ENGM satisfies the requirements of the next-generation grid and is suitable for new generation grid applications. © 2004 Wiley Periodicals, Inc. Int J Int Syst 19: 859–884, 2004.