Round-Hashing for Data Storage: Distributed Servers and External-Memory Tables

Authors Roberto Grossi, Luca Versari

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Roberto Grossi
  • Dipartimento di Informatica, Università di Pisa, Italy
Luca Versari
  • Dipartimento di Informatica, Università di Pisa, Italy

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Roberto Grossi and Luca Versari. Round-Hashing for Data Storage: Distributed Servers and External-Memory Tables. In 26th Annual European Symposium on Algorithms (ESA 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 112, pp. 43:1-43:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)


This paper proposes round-hashing, which is suitable for data storage on distributed servers and for implementing external-memory tables in which each lookup retrieves at most one single block of external memory, using a stash. For data storage, round-hashing is like consistent hashing as it avoids a full rehashing of the keys when new servers are added. Experiments show that the speed to serve requests is tenfold or more than the state of the art. In distributed data storage, this guarantees better throughput for serving requests and, moreover, greatly reduces decision times for which data should move to new servers as rescanning data is much faster.

Subject Classification

ACM Subject Classification
  • Theory of computation → Sorting and searching
  • Information systems → Data dictionaries
  • consistent hashing
  • external memory
  • hash tables


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