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Maximizing P2P File Access Availability in mobile Ad Hoc Networks though
Replication for Efficient File Sharing
Abstract :
File sharing applications in mobile ad hoc networks (MANETs) have attracted more and
more attention in recent years. The efficiency of file querying suffers from the distinctive
properties of such networks including node mobility and limited communication range
and resource. An intuitive method to alleviate this problem is to create file replicas in the
network. However, despite the efforts on file replication, no research has focused on the
global optimal replica creation with minimum average querying delay. Specifically,
current file replication protocols in mobile ad hoc networks have two shortcomings. First,
they lack a rule to allocate limited resources to different files in order to minimize the
average querying delay. Second, they simply consider storage as available resources
for replicas, but neglect the fact that the file holders’ frequency of meeting other nodes
also plays an important role in determining file availability. Actually, a node that has a
higher meeting frequency with others provides higher availability to its files. This
becomes even more evident in sparsely distributed MANETs, in which nodes meet
disruptively. In this paper, we introduce a new concept of resource for file replication,
which considers both node storage and meeting frequency. We theoretically study the
influence of resource allocation on the average querying delay and derive a resource
allocation rule to minimize the average querying delay. We further propose a distributed
file replication protocol to realize the proposed rule. Extensive trace-driven experiments
with synthesized traces and real traces show that our protocol can achieve shorter
average querying delay at a lower cost than current replication protocols.
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Maximizing p2 p file access availability in mobile ad hoc networks though replication for efficient file sharing

  • 1. 2020 – 2021 #13/ 19, 1st Floor, Municipal Colony, Kangayanellore Road, Gandhi Nagar, Vellore – 6. Off: 0416-2247353 Mo: +91 9500218218 / +91 8220150373 Website: www.shakastech.com, Email - id: shakastech@gmail.com, info@shakastech.com Maximizing P2P File Access Availability in mobile Ad Hoc Networks though Replication for Efficient File Sharing Abstract : File sharing applications in mobile ad hoc networks (MANETs) have attracted more and more attention in recent years. The efficiency of file querying suffers from the distinctive properties of such networks including node mobility and limited communication range and resource. An intuitive method to alleviate this problem is to create file replicas in the network. However, despite the efforts on file replication, no research has focused on the global optimal replica creation with minimum average querying delay. Specifically, current file replication protocols in mobile ad hoc networks have two shortcomings. First, they lack a rule to allocate limited resources to different files in order to minimize the average querying delay. Second, they simply consider storage as available resources for replicas, but neglect the fact that the file holders’ frequency of meeting other nodes also plays an important role in determining file availability. Actually, a node that has a higher meeting frequency with others provides higher availability to its files. This becomes even more evident in sparsely distributed MANETs, in which nodes meet disruptively. In this paper, we introduce a new concept of resource for file replication, which considers both node storage and meeting frequency. We theoretically study the influence of resource allocation on the average querying delay and derive a resource allocation rule to minimize the average querying delay. We further propose a distributed file replication protocol to realize the proposed rule. Extensive trace-driven experiments with synthesized traces and real traces show that our protocol can achieve shorter average querying delay at a lower cost than current replication protocols. Discover the world's research  19+ million members  135+ million publications  700k+ research projects