Rules of encounter: designing conventions for automated negotiation among computers
Rules of encounter: designing conventions for automated negotiation among computers
Economic models for allocating resources in computer systems
Market-based control
An active service framework and its application to real-time multimedia transcoding
Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
Numerical Recipes in C++: the art of scientific computing
Numerical Recipes in C++: the art of scientific computing
A taxonomy and survey of grid resource management systems for distributed computing
Software—Practice & Experience
Condor-G: A Computation Management Agent for Multi-Institutional Grids
Cluster Computing
Looking up data in P2P systems
Communications of the ACM
DYNAMO - DirectorY, Net Archiver and MOver
GRID '02 Proceedings of the Third International Workshop on Grid Computing
Designing Bidding Strategies for Trading Agents in Electronic Auctions
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Multicast Injection for Application Network Deployment
LCN '01 Proceedings of the 26th Annual IEEE Conference on Local Computer Networks
Darwin: Customizable Resource Management for Value-Added Network Services
ICNP '98 Proceedings of the Sixth International Conference on Network Protocols
[15] Peer-to-Peer Architecture Case Study: Gnutella Network
P2P '01 Proceedings of the First International Conference on Peer-to-Peer Computing
Agent-mediated electronic commerce: a survey
The Knowledge Engineering Review
Negotiating and Enforcing QoS and SLAs in Grid and Cloud Computing
GPC '09 Proceedings of the 4th International Conference on Advances in Grid and Pervasive Computing
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On-demand acquisition of computational power from remote providers is the basic motivation of Grid Computing and Service Oriented Computing in general. Both concepts propose to eliminate inefficiencies in enterprises' IT infrastructure, reduce costs and increase flexibility. However, participants waive control and risk non-availability at runtime. An important phase in the procurement process is the selection of a provider out of a candidate list. This article compares two approaches for service selection. In a centralized service selection concept, a resource broker selects and assigns partners, while a coordinator-free approach uses bilateral negotiations to build pairs. A network simulation analyzes allocation results using technical and economic metrics, and shows the decentralized approach's higher adaptiveness to changing network dynamics and service instance density.