Estimating unreliable objects and system reliability in P2P networks

It is a very difficult task to estimate abnormal objects and analyze reliability in peer-to-peer (P2P) networks. In the P2P network environment, successful execution of a program is conditional on the successful access of related files and software distributed throughout the P2P network. Abnormal phenomena in peer-to-peer systems occur very often. They occur in software and in data operated on by the computer itself or by a connected computer. This paper focuses on estimating abnormal objects and reliability in a P2P network that is very complex and different. We propose an estimation method for abnormal objects and reliability in a P2P network. First, we define a P2P static graph model, where the node is a computational unit and the edge is a communication unit in the P2P network. The computational unit is software or data installed on a computer. Second, we propose a converting algorithm where the P2P static graph model is converted to a colored Petri net model. Last, we estimate abnormal objects and the reliability of the P2P network. The technique successfully classifies abnormal objects and estimates reliability of the P2P network. This procedure provides a very useful method for detection of abnormal objects in a P2P network, which occur through abnormal faults of software and data. While we manage the P2P network, the reliability of the system can be predicted.