%0 Conference Proceedings
%T Scalable Store of Java Objects Using Range Partitioning
%+ Kielce University of Technology
%+ Cracow University of Technology
%A Bedla, Mariusz
%A Sapiecha, Krzysztof
%Z Part 1: Software Architectures and Development
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 4th Central and East European Conference on Software Engineering Techniques (CEESET)
%C Krakow, Poland
%Y David Hutchison
%Y Takeo Kanade
%Y Madhu Sudan
%Y Demetri Terzopoulos
%Y Doug Tygar
%Y Moshe Y. Vardi
%Y Gerhard Weikum
%Y Tomasz Szmuc
%Y Marcin Szpyrka
%Y Jaroslav Zendulka
%Y Josef Kittler
%Y Jon M. Kleinberg
%Y Friedemann Mattern
%Y John C. Mitchell
%Y Moni Naor
%Y Oscar Nierstrasz
%Y C. Pandu Rangan
%Y Bernhard Steffen
%I Springer
%3 Advances in Software Engineering Techniques
%V LNCS-7054
%P 84-93
%8 2009-10-12
%D 2009
%R 10.1007/978-3-642-28038-2_7
%K object store
%K scalability
%K SDDS
%K RP*
%K Java
%Z Computer Science [cs]Conference papers
%X Scalable Store of Objects (SSO) should allow for storing and maintaining a huge number of objects distributed over many nodes of a network. RP*N is a structure which belongs to a family of order-preserving, Range Partitioning Scalable Distributed Data Structures (RP* SDDS). The architectures of SDDS were designed to store records. Different structures of objects and complicated dependences between objects are the cause that a new architecture for RP* is needed. The paper describes a new object-oriented version of RP*N architecture and its implementation for Java objects. This version can be used in a fast and scalable store of Java objects. Performance of the implementation is evaluated and compared with serialization of objects on a disk and storing objects as a main-memory collection.
%G English
%Z TC 2
%2 https://inria.hal.science/hal-01527389/document
%2 https://inria.hal.science/hal-01527389/file/978-3-642-28038-2_7_Chapter.pdf
%L hal-01527389
%U https://inria.hal.science/hal-01527389
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC2
%~ IFIP-LNCS-7054
%~ IFIP-CEESET