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Part of book or chapter of book
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Biblioteca Digital do IPB
Conference object . 2002
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https://doi.org/10.1007/3-540-...
Part of book or chapter of book . 2003 . Peer-reviewed
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Distributed Paged Hash Tables

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article , Conference object 01 Jan 2003 Portugal Publisher:Springer Berlin Heidelberg
Authors: Rufino, José; Pina, António; Alves, Albano; Exposto, José;

doi: 10.1007/3-540-36569-9_46

handle: 10198/522

Distributed Paged Hash Tables

Abstract

In this paper we present the design and implementation of DPH, a storage layer for cluster environments. DPH is a Distributed Data Structure (DDS) based on the distribution of a paged hash table. It combines main memory with file system resources across the cluster in order to implement a distributed dictionary that can be used for the storage of very large data sets with key based addressing techniques. The DPH storage layer is supported by a collection of cluster-aware utilities and services. Access to the DPH interface is provided by a user-level API. A preliminary performance evaluation shows promising results.

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Keywords

Distributed hash tables, Cluster computing

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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