Peer-to-peer (P2P) systems are characterized by decentralized control, large-scale and extreme dynamism of their environment. Developing applications that can cope with these characteristics requires a paradigm shift that puts adaptation, resilience and self-organization as primary concerns. Complex adaptive systems (CAS), commonly used to explain the behavior of many biological and social systems, could be an appropriate response to these requirements. In order to pursue these ideas, this paper presents Messor, a decentralized load-balancing algorithm based on techniques such as multi-agent systems drawn from CAS. A novel P2P grid computing system has been designed using the Messor algorithm, allowing arbitrary users to initiate computational tasks. © Springer-Verlag Berlin Heidelberg 2003.
Messor: Load-balancing through a swarm of autonomous agents
Montresor, Alberto;
2003-01-01
Abstract
Peer-to-peer (P2P) systems are characterized by decentralized control, large-scale and extreme dynamism of their environment. Developing applications that can cope with these characteristics requires a paradigm shift that puts adaptation, resilience and self-organization as primary concerns. Complex adaptive systems (CAS), commonly used to explain the behavior of many biological and social systems, could be an appropriate response to these requirements. In order to pursue these ideas, this paper presents Messor, a decentralized load-balancing algorithm based on techniques such as multi-agent systems drawn from CAS. A novel P2P grid computing system has been designed using the Messor algorithm, allowing arbitrary users to initiate computational tasks. © Springer-Verlag Berlin Heidelberg 2003.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione
