PerDiS: Design, Implementation, and Use of a PERsistent DIstributed Store

Autor: Marcus Roberts, João Garcia, Sacha Krakowiak, Nicolas Richer, Fadi Sandakly, Daniel Hagimont, Jean Dollimore, George Coulouris, Olivier Fambon, Sytse Kloosterman, Xavier Blondel, Paulo Ferreira, Marc Shapiro, Paulo Marcos da Matta Guedes
Přispěvatelé: Distributed Object Systems (SOR), Inria Paris-Rocquencourt, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Distributed Systems for Cooperative Applications (SIRAC), Inria Grenoble - Rhône-Alpes, Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa (INESC-ID), Instituto Superior Técnico, Universidade Técnica de Lisboa (IST)-Instituto de Engenharia de Sistemas e Computadores (INESC), Systèmes répartis et coopératifs (SRC), Laboratoire d'Informatique de Paris 6 (LIP6), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Department of Computer Science (Queen Mary University of London), Queen Mary University of London (QMUL), Centre Scientifique et Technique du Bâtiment (CSTB), Sacha Krakowiak and Santosh Kumar Shrivastava
Rok vydání: 2000
Předmět:
Zdroj: Advances in Distributed Systems ISBN: 9783540671961
Advances in Distributed Systems
Recent Advances in Distributed Systems
Sacha Krakowiak and Santosh Kumar Shrivastava. Recent Advances in Distributed Systems, 1752, Springer-Verlag, pp.427--452, 2000, Lecture Notes in Computer Science, ⟨10.1007/3-540-46475-1_18⟩
DOI: 10.1007/3-540-46475-1_18
Popis: International audience; The PerDiS (Persistent Distributed Store) project addresses the issue of providing support for distributed collaborative engineering applications. We describe the design and implementation of the PerDiS platform, and its support for such applications. Collaborative engineering raises system issues related to the sharing of large volumes of fine-grain, complex objects across wide-area networks and administrative boundaries. PerDiS manages all these aspects in a well defined, integrated, and automatic way. Distributed application programming is simplified because it uses the same memory abstraction as in the centralized case. Porting an existing centralized program written in C or C++ is usually a matter of a few, well-isolated changes. We present some performance results from a proof-of-concept platform that runs a number of small, but real, distributed applications on Unix and Windows NT. These confirm that the PerDiS abstraction is well adapted to the targeted application area and that the overall performance is promising compared to alternative approaches
Databáze: OpenAIRE