Meandre data-intensive application infrastructure: Extreme scalability for cloud and/or grid computing

Bernie Ács, Xavier Llorà, Boris Capitanu, Loretta Auvil, David Tcheng, Mike Haberman, Limin Dong, Tim Wentling, Michael Welge

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

Abstract

The volumes and velocity of data are growing at unprecedented rates, often physically distributed, have access constraints, and requirements to leverage the diverse computational fabrics like clouds and grids. The Meandre data-intensive component-based application infrastructure can leverage diversity and enables extremely scalable server clusters and applications to address these challenges. Data-intensive flows can: be web-services and/or computational tasks; co-locate processing with data; orchestrate cloud computing resources; and leverage grid resources with distributed execution. Meandre from a laptop to a cloud, grid, or server as analytical computational tasks and/or web-services in data-intensive flows made up of components that provide deployment and execution strategies for extreme scalability.

Original languageEnglish (US)
Title of host publicationNew Frontiers in Artificial Intelligence - JSAI-isAI 2010 Workshops, LENLS, JURISIN, AMBN, ISS, Revised Selected Papers
Pages233-242
Number of pages10
DOIs
StatePublished - Nov 29 2011
Event2nd JSAI International Symposia on Artificial Intelligence, JSAI-isAI 2010 - Tokyo, Japan
Duration: Nov 18 2010Nov 19 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6797 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd JSAI International Symposia on Artificial Intelligence, JSAI-isAI 2010
Country/TerritoryJapan
CityTokyo
Period11/18/1011/19/10

Keywords

  • Meandre
  • cloud
  • components
  • data-intensive
  • dataflow
  • grid

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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