Towards self-managing QoS-enabled peer-to-peer systems

Abstract

Peer-to-peer systems that dynamically interact, collaborate and share resources are increasingly being deployed in wide-area environments. The inherent ad-hoc nature of these systems makes it difficult to meet the Quality of Service (QoS) requirements of the distributed applications, thus having a direct impact on their scalability, efficiency and performance. In this paper we propose adaptive algorithms to meet applications QoS demands and balance the load across multiple peers. These comprise (a) resource management mechanisms to monitor resource loads and application latencies and (b) self-organization algorithms to dynamically select peers that maximize the probability of meeting the applications' soft real-time and QoS requirements. Our algorithms use only local knowledge and therefore scale well with respect to the size of the network and the number of executing applications. © Springer-Verlag Berlin Heidelberg 2005.