Scalable Store of Java Objects Using Range Partitioning

Abstract : 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.
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Communication dans un congrès
David Hutchison; Takeo Kanade; Madhu Sudan; Demetri Terzopoulos; Doug Tygar; Moshe Y. Vardi; Gerhard Weikum; Tomasz Szmuc; Marcin Szpyrka; Jaroslav Zendulka; Josef Kittler; Jon M. Kleinberg; Friedemann Mattern; John C. Mitchell; Moni Naor; Oscar Nierstrasz; C. Pandu Rangan; Bernhard Steffen. 4th Central and East European Conference on Software Engineering Techniques (CEESET), Oct 2009, Krakow, Poland. Springer, Lecture Notes in Computer Science, LNCS-7054, pp.84-93, 2012, Advances in Software Engineering Techniques. 〈10.1007/978-3-642-28038-2_7〉
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Mariusz Bedla, Krzysztof Sapiecha. Scalable Store of Java Objects Using Range Partitioning. David Hutchison; Takeo Kanade; Madhu Sudan; Demetri Terzopoulos; Doug Tygar; Moshe Y. Vardi; Gerhard Weikum; Tomasz Szmuc; Marcin Szpyrka; Jaroslav Zendulka; Josef Kittler; Jon M. Kleinberg; Friedemann Mattern; John C. Mitchell; Moni Naor; Oscar Nierstrasz; C. Pandu Rangan; Bernhard Steffen. 4th Central and East European Conference on Software Engineering Techniques (CEESET), Oct 2009, Krakow, Poland. Springer, Lecture Notes in Computer Science, LNCS-7054, pp.84-93, 2012, Advances in Software Engineering Techniques. 〈10.1007/978-3-642-28038-2_7〉. 〈hal-01527389〉

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