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Design and implementation of DDH: A distributed dynamic hashing algorithm

  • Robert Devine
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 730)

Abstract

DDH extends the idea of dynamic hashing algorithms to distributed systems. DDH spreads data across multiple servers in a network using a novel autonomous location discovery algorithm that learns the bucket locations instead of using a centralized directory.

We describe the design and implementation of the basic DDH algorithm using networked computers. Performance results show that the prototype of DDH hashing is roughly equivalent to conventional single-node hashing implementations when compared with CPU time or elapsed time. Finally, possible improvements are suggested to the basic DDH algorithm for increased reliability and robustness.

Keywords

Hash Table Distribute Hash Table User Datagram Protocol Split Level Collision Resolution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1993

Authors and Affiliations

  • Robert Devine
    • 1
  1. 1.EECS Department, Computer Science DivisionUniversity of California at BerkeleyUSA

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