Finding data in the neighborhood

André Eickler, Alfons Kemper, Donald Kossmann

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In this paper, we present and evaluate alternative techniques to effect the use of location-independent identifiers in distributed database systems. Location-independent identifiers are important to take full advantage of migration and replication as they allow accessing objects without visiting the servers that created the objects. We will show how a distributed index structure can be used for this purpose, we will present a simple, yet effective replication strategy for the nodes of the index, and we will present alternative strategies to traverse the index in order to dereference identifiers (i.e., find a copy of an object given its identifier). Furthermore, we will discuss the results of performance experiments that show some tradeoffs of the proposed replication and traversal strategies and compare our techniques to an approach that uses location-dependent identifiers like many systems today.

Original languageEnglish
Title of host publicationProceedings of the 23rd International Conference on Very Large Databases, VLDB 1997
EditorsFred Lochovsky, Michael J. Carey, Matthias Jarke, Klaus R. Dittrich, Pericles Loucopoulos, Manfred A. Jeusfeld
PublisherMorgan Kaufmann
Pages336-345
Number of pages10
ISBN (Electronic)1558604707, 9781558604704
StatePublished - 1997
Externally publishedYes
Event23rd International Conference on Very Large Databases, VLDB 1997 - Athens, Greece
Duration: 26 Aug 199729 Aug 1997

Publication series

NameProceedings of the 23rd International Conference on Very Large Databases, VLDB 1997

Conference

Conference23rd International Conference on Very Large Databases, VLDB 1997
Country/TerritoryGreece
CityAthens
Period26/08/9729/08/97

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