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Títol: Integration of decentralized economic models for resource self-management in application layer networks
Autor: Chacín Martínez, Pablo
Freitag, Fèlix
Navarro Moldes, Leandro
Chao, Isaac
Ardáiz Villanueva, Óscar
Altres autors/autores: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors; Universitat Politècnica de Catalunya. DSG - Distributed Systems Group
Editorial: Springer
Matèries: Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors::Arquitectures distribuïdes
Distributed systems
Application layer network
Autonomic systems
Decentralized economic models
Middleware
Resource allocation
Resource self-management
Self-adjusting systems
ALN
CATNETS
P2P
Sistemes distribuïts
Tipus de document: Conference report
Descripció: Resource allocation is one of the challenges for self-management of large scale distributed applications running in a dynamic and heterogeneous environment. Considering Application Layer Networks (ALN) as a general term for such applications including computational Grids, Content Distribution Networks and P2P applications, the characteristics of the ALNs and the environment preclude an efficient resource allocation by a central instance. The approach we propose integrates ideas from decentralized economic models into the architecture of a resource allocation middleware, which allows the scalability towards the participant number and the robustness in very dynamic environments. At the same time, the pursuit of the participants for their individual goals should benefit the global optimization of the application. In this work, we describe the components of this middleware architecture and introduce an ongoing prototype.
Peer Reviewed
Altres identificadors i accés: Chacin, P; Freitag, F; Navarro, L; Chao, I; Ardaiz, O. Integration of decentralized economic models for resource self-management in application layer networks. A: Stravrakakis, I; Smirnov, M. (eds) Autonomic computation. Berlin: Springer, 2005, p. 214-225
978-3-540-32992-3
http://hdl.handle.net/2117/2344
Disponible al dipòsit:E-prints UPC
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