Rules of encounter: designing conventions for automated negotiation among computers
Rules of encounter: designing conventions for automated negotiation among computers
Numerical Recipes in C++: the art of scientific computing
Numerical Recipes in C++: the art of scientific computing
Tapestry: a fault-tolerant wide-area application infrastructure
ACM SIGCOMM Computer Communication Review
A taxonomy and survey of grid resource management systems for distributed computing
Software—Practice & Experience
A Behavioural Learning Approach to the Dynamics ofPrices
Computational Economics - Special issue: Evolutionary processes in economics
Looking up data in P2P systems
Communications of the ACM
IEEE Internet Computing
Negotiation among self-interested computationally limited agents
Negotiation among self-interested computationally limited agents
Service-Oriented Computing: Key Concepts and Principles
IEEE Internet Computing
| Hi-index | 0.00 |
Grid computing has recently become an important paradigm for managing computationally demanding applications, composed of a collection of services. The dynamic discovery of services, and the selection of a particular service instance providing the best value out of the discovered alternatives, poses a complex multi-attribute n:m allocation decision problem, which is often solved using a centralized resource broker. To manage complexity, this article proposes a two-layered architecture for decentralized service discovery in such Application Layer Networks (ALN). The first layer consists of a service market in which complex services are translated to a set of basic services, which are distinguished by price and availability. The second layer provides an allocation of services to appropriate resources in order to enact the specified services. This framework comprises the foundations for a later comparison of centralized and decentralized market mechanisms for allocation of services and resources in ALNs and Grids in general.