Cone: A Distributed Heap Approach to Resource Selection

Ranjita Bhagwan, Priya Mahadevan, George Varghese and Geoffrey M. Voelker
March 22, 2004

In this paper, we propose a new distributed heap-based data structure called Cone. Cone maintains an ordering of key values in a distributed fashion, and can support queries of the form, "Find x resources of size > S." Cone can be built on any routing substrate as long as the substrate supports longest prefix match-based lookups. We describe the Cone data structure, the operations it supports, and its load balancing properties. We have implemented and evaluated Cone on a 1000-node ModelNet emulation platform and a 50-node PlanetLab distributed testbed. We show that Cone has good load-balancing properties and that it is stable and reactive even when there is considerable amount of dynamism in the system.

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