Topic 5: Parallel and distributed data management

Domenico Talia, Alex Delis, Haimonti Dutta, Arkady Zaslavsky

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The ever-increasing data volumes used to empower contemporary data-intensive applications as well as aggregations of computing systems call for novel approaches and efficient techniques in the management of geographically dispersed data. Despite recent advances, Internet-scale requirements for both applications and underlying systems require effective provisioning, staging,manipulation, continuous maintenance and monitoring of data hosted in multiple, pre-existing autonomous, distributed and often heterogeneous systems. Evidently, the notions of parallelism and concurrent execution at all levels remain key elements in attaining scalability and effective management for nearly-all modern data-intensive applications. Moreover, as underlying computing environments get transformed through the introduction of novel infrastructures, enhanced capacities and extended functionalities, new solutions are sought to cope with these changes.

Original languageEnglish (US)
Title of host publicationParallel Processing - 18th International Conference, Euro-Par 2012, Proceedings
Number of pages2
StatePublished - 2012
Event18th International Conference on Parallel Processing, Euro-Par 2012 - Rhodes Island, Greece
Duration: Aug 27 2012Aug 31 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7484 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference18th International Conference on Parallel Processing, Euro-Par 2012
CityRhodes Island

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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