Abstract
The failure detector is one of the fundamental components that maintain high availability of Peer-to-Peer (P2P) networks. Under different network conditions, the adaptive failure detector based on quality of service (QoS) can achieve the detection time and accuracy required by upper applications with lower detection overhead. In P2P systems, complexity of network and high churn lead to high message loss rate. To reduce the impact on detection accuracy, baseline detection strategy based on retransmission mechanism has been employed widely in many P2P applications; however, Chen's classic adaptive model cannot describe this kind of detection strategy. In order to provide an efficient service of failure detection in P2P systems, this paper establishes a novel QoS evaluation model for the baseline detection strategy. The relationship between the detection period and the QoS is discussed and on this basis, an adaptive failure detector (B-AFD) is proposed, which can meet the quantitative QoS metrics under changing network environment. Meanwhile, it is observed from the experimental analysis that B-AFD achieves better detection accuracy and time with lower detection overhead compared to the traditional baseline strategy and the adaptive detectors based on Chen's model. Moreover, B-AFD has better adaptability to P2P network.
Highlights
Peer-to-Peer (P2P) network has rapidly become the major computing platform to share resources and services on Internet [1,2]
In P2P systems, nodes may come from any corner of the Internet with huge difference in network conditions, thereby, the experiments are carried out on two sets of nodes which represent two typical network conditions in P2P networks
Experimental results have shown that B-AFD detectors have good adaptability to different network environment due to the detection parameters adjusted adaptively according to network changing, there is little change in the accuracy and detection time under different network environment and the specified
Summary
Peer-to-Peer (P2P) network has rapidly become the major computing platform to share resources and services on Internet [1,2]. Quality of Service (QoS) provided by failure detector is an important factor that affects the performance of P2P system, poor accuracy of detection will lead to plenty of unnecessary routing repair and data transfer, which will greatly increase the system overhead, especially in structured P2P networks. The study of adaptive failure detectors that can ensure the QoS of failure detection with lower overhead according to the changes in network conditions is very significant for building P2P applications. P2P applications covers the entire Internet, complex network conditions and the rapid joining and leaving by large number of nodes make the message loss rate very high, which may lead to an increase in false positive rate [13]. Experimental analysis shows that B-AFD has better adaptability to P2P networks as compared to the traditional baseline strategy and the adaptive detector based on Chen’s model
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