Abstract
The Peer-to-Peer system has the potential capacity in building an efficient unified network structure for location based secure data transfer with information sharing and minimizing the failure factor. In this study we define the data transfer with certain futuristic characters that will provide data sharing strength for the users to understand the efficiency with which the data reaches the end node or users. For this purpose we have used specific QoS metric tools like, bandwidth, lookup time, delay, response time and trip time that will help in data sharing. This study concentrates on the search operation on the P2P network for data retrieval. Replication strategy is used in order to increase the probability of successful search. The lookup search employed in this regard uses two type of search namely ring and binary search. The efficiency aspect of data transfer in this study raises the importance of the system compared with the earlier system. The performance analysis will clearly chat out the quality of this system of data sharing and searching. Evaluations have shown a positive sign in the functioning of the proposed system.
Highlights
Peer-Peer networks are used to send data from a location to another location providing essential information like bandwidth, lookup time, response time etc
Peer-to-Peer network systems are important structures in internet applications
The P2P networks have grown into a choice of preference for many researchers to work with, to disclose the search and data retrieval mechanisms occurring in nodes
Summary
Peer-Peer networks are used to send data from a location to another location providing essential information like bandwidth, lookup time, response time etc. Lookup concept is used in the search operation to locate the data available node in P2P network. This proposes a large-scale overlay network distribution in which the optimal average search size becomes constant for where, there is a shape parameter.
Published Version (Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have