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Using Distributed Hash Tables (DHT) for a resource discovery in large-scale systems generates considerable maintenance overhead which affects the routing efficiency. In this paper, the authors propose a hierarchical DHT solution based on scalable distributed data structures (SDDS) for an efficient resource discovery in data Grids. Their solution deals with a reduced number of gateway peers running a DHT protocol. Each of them serves also as a proxy for second level peers in a single Virtual Organization (VO), structured as an SDDS. They present a cost analysis for a resource discovery process and discuss its capabilities to reduce both lookup and maintenance costs while minimizing the overhead added to the system.
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