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Impulse Technologies
                                       Beacons U to World of technology
        044-42133143, 98401 03301,9841091117 ieeeprojects@yahoo.com www.impulse.net.in
         A Symmetric Load Balancing Algorithm with Performance
                Guarantees for Distributed Hash Tables
   Abstract
           Peers participating in a {it distributed hash table} (DHT) may host different
   numbers of virtual servers and are enabled to balance their loads in the reallocation of
   virtual servers. Most decentralized load balance algorithms designed for DHTs based on
   virtual servers require the participating peers to be asymmetric, where some serve as the
   rendezvous nodes to pair virtual servers and participating peers, thereby introducing
   another load imbalance problem. While state-of-the-art studies intend to present
   symmetric load balancing algorithms, they introduce significant algorithmic overheads
   and guarantee no rigorous performance metrics. In this paper, a novel symmetric load
   balancing algorithm for DHTs is presented by having the participating peers approximate
   the system state with histograms and cooperatively implement a global index. Each peer
   independently reallocates in our proposal its locally hosted virtual servers by publishing
   and inquiring the global index based on their histograms. Unlike competitive algorithms,
   our proposal exhibits analytical performance guarantees in terms of the load balance
   factor and the algorithmic convergence rate, and introduces no load imbalance problem
   due to the algorithmic workload. Through computer simulations, we show that our
   proposal clearly outperforms existing distributed algorithms in terms of load balance
   factor with a comparable movement cost..




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  • 1. Impulse Technologies Beacons U to World of technology 044-42133143, 98401 03301,9841091117 ieeeprojects@yahoo.com www.impulse.net.in A Symmetric Load Balancing Algorithm with Performance Guarantees for Distributed Hash Tables Abstract Peers participating in a {it distributed hash table} (DHT) may host different numbers of virtual servers and are enabled to balance their loads in the reallocation of virtual servers. Most decentralized load balance algorithms designed for DHTs based on virtual servers require the participating peers to be asymmetric, where some serve as the rendezvous nodes to pair virtual servers and participating peers, thereby introducing another load imbalance problem. While state-of-the-art studies intend to present symmetric load balancing algorithms, they introduce significant algorithmic overheads and guarantee no rigorous performance metrics. In this paper, a novel symmetric load balancing algorithm for DHTs is presented by having the participating peers approximate the system state with histograms and cooperatively implement a global index. Each peer independently reallocates in our proposal its locally hosted virtual servers by publishing and inquiring the global index based on their histograms. Unlike competitive algorithms, our proposal exhibits analytical performance guarantees in terms of the load balance factor and the algorithmic convergence rate, and introduces no load imbalance problem due to the algorithmic workload. Through computer simulations, we show that our proposal clearly outperforms existing distributed algorithms in terms of load balance factor with a comparable movement cost.. Your Own Ideas or Any project from any company can be Implemented at Better price (All Projects can be done in Java or DotNet whichever the student wants) 1