Title :
Fulfilling the vision of fully autonomic peer-to-peer systems
Author :
Amoretti, Michele
Author_Institution :
Dept. of Inf. Eng., Univ. of Parma, Parma, Italy
fDate :
June 28 2010-July 2 2010
Abstract :
A peer-to-peer (P2P) distributed system is a network of collectors, providers and consumers of resources. In order to be autonomic, peers may be provided with an internal structure being dynamically adjusted by an adaptive plan which determines successive re-configurations in response to the environment. To address this challenging problem, we have introduced the Adaptive Autonomic Framework, that allows to turn any P2P network in a complex adaptive system. In this paper we present the performance analysis of an AEF-based architecture for Grid Computing.
Keywords :
Adaptation model; Biological cells; Computer architecture; Grid computing; Noise measurement; Peer to peer computing; Random access memory; autonomic computing; genetic algorithms; peer-to-peer;
Conference_Titel :
High Performance Computing and Simulation (HPCS), 2010 International Conference on
Conference_Location :
Caen, France
Print_ISBN :
978-1-4244-6827-0
DOI :
10.1109/HPCS.2010.5547110