Abstract
Distributed Hash Tables (DHT) implements a distributed dictionary, supporting key insertion, deletion and lookup. They use hashing to enable efficient dictionary operations, and achieve storage balance across the participant nodes. Hashing can be inappropriate for both problems, as it destroys data ordering, thus making sequential key access and range queries expensive, and fails to provide storage balance when keys are not unique. We propose generalizing DHTs to create Distributed Balanced Tables (DBTs), which eliminate the above two problems. To solve problem, we discuss how DHT routing structures can be adapted for use in DBTs, while preserving the costs of the standard dictionary operations and supporting efficient range queries. To solve problem, we describe an efficient algorithm that guarantees storage balance, even against an adversarial insertion and deletion of keys.
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Tripathy, A., Negi, T., Singh, A. (2004). Distributed Balanced Tables: A New Approach. In: Ghosh, R.K., Mohanty, H. (eds) Distributed Computing and Internet Technology. ICDCIT 2004. Lecture Notes in Computer Science, vol 3347. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30555-2_6
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DOI: https://doi.org/10.1007/978-3-540-30555-2_6
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