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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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