Economic Models and Algorithms for Distributed Systems / edited by Dirk Neumann, Mark Baker, Jörn Altmann, Omer Rana.

Springer eBooks

Economic Models and Algorithms for Distributed Systems -- Economic Models and Algorithms for Distributed Systems -- Reputation Mechanisms and Trust -- A Belief-based Trust Model for Dynamic Service Selection -- Reputation, Princing and the E-Science Grid -- Trust-oriented Utility-based Community Structure in Multiagent Systems -- Formation of Virtual Organizations in Grids: A Game-Theoretic Approach -- Towards Dynamic Authentication in the Grid — Secure and Mobile Business Workflows Using GSet -- Service Level Agreements -- Enforcing Service Level Agreements Using an Economically Enhanced Resource Manager -- Extended Resource Management Using Client Classification and Economic Enhancements -- Mitigating Provider Uncertainty in Service Provision Contracts -- Text-Content-Analysis based on the Syntactic Correlations between Ontologies -- Business Models and Market Mechanisms -- Cloud Computing Value Chains: Understanding Businesses and Value Creation in the Cloud -- A Model for Determining the Optimal Capacity Investment for Utility Computing -- A Combinatorial Exchange for Complex Grid Services -- Heuristic Scheduling in Grid Environments: Reducing the Operational Energy Demand -- Facing Price Risks in Internet-of-Services Markets.

Distributed computing paradigms for sharing resources such as Clouds, Grids, Peer-to-Peer systems, or voluntary computing are becoming increasingly popular. While there are some success stories such as PlanetLab, OneLab, BOINC, BitTorrent, and SETI@home, a widespread use of these technologies for business applications has not yet been achieved. In a business environment, mechanisms are needed to provide incentives to potential users for participating in such networks. These mechanisms may range from simple non-monetary access rights, monetary payments to specific policies for sharing. Although a few models for a framework have been discussed (in the general area of a "Grid Economy"), none of these models has yet been realised in practice. This book attempts to fill this gap by discussing the reasons for such limited take-up and exploring incentive mechanisms for resource sharing in distributed systems. The purpose of this book is to identify research challenges in successfully using and deploying resource sharing strategies in open-source and commercial distributed systems.

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