Abstract
Recently there has been significant research focus on distributed computing network massively caching and replica placement problems for content distribution in globally. Peer -to-Peer (P2P) network provides dynamically decentralized, self organized, scalable objects in distributed computing system. However such networks suffer from high latency, network traffic and cache update problems. The existing caching and replica placement techniques for placing objects across peer -to-peer network have no complete s olution to these problems. This paper presents an overview of the current challenges present in P2P overlay networks, followed by describes briefly the analysis study of the existing algorithms and their merits and demerits. And also suggest a new popular ity based QoS-aware(Quality of Service) smart replica placement algorithm for content distribution in peer - to-peer overlay networks which overcomes the access latency, fault tolerance, network traffic and redundancy problems with low cost. The new algo rithm suggested is based on the outcome of the analysis study.
Highlights
A distributed computing system consists of multiple software components that are on multiple computers, but run as a single system [12, 19]
The challenges facing in P2P systems are scalability, reliability, access latency, network traffic, fault tolerance, bandwidth utilization, security, and load balancing
The demanded contents can be brought much closer to the clients through replication techniques, reducing both the access latency and network traffic and increase the system performance by avoiding hot peers which becomes a bottleneck
Summary
A distributed computing system consists of multiple software components that are on multiple computers, but run as a single system [12, 19]. The challenges facing in P2P systems are scalability, reliability, access latency, network traffic, fault tolerance, bandwidth utilization, security, and load balancing. Data replication and caching techniques are the important two services in distributed computing networks. It increases data availability by creating local or nearly available copies of popularly used items, by forwarding each query to its nearest copy; the query search latency can be effectively reduced. To provide content distribution to the clients with good Quality of Service (QOS), retaining efficient and balanced resources is a very big challenge [21]. QOS is a method to guarantee a bandwidth relationship between individual applications or protocols It minimizes access latency, cost and increase the availability through replication technique. Each replica only serves the requests flowing through some routing techniques which can be implemented at either the application level or at the network level [20]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
