Data Transformation Services over Grids with Real-Time Bound Constraints

  • Authors:
  • Alfredo Cuzzocrea

  • Affiliations:
  • ICAR Institute and University of Calabria, Cosenza, Italy I-87036

  • Venue:
  • OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part I on On the Move to Meaningful Internet Systems:
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

Data and Knowledge Grids represent emerging and attracting application scenarios for Grid Computing , and pose novel and previously-unrecognized challenges to the research community. Basically, Data and Knowledge Grids found on high-performance Grid infrastructures and add to the latter meaningful data- and knowledge-oriented abstractions and metaphors that perfectly marry with innovative requirements of modern complex Intelligent Information Systems . To this end, service-oriented architectures and paradigms are the most popular ones for Grids, and on the whole represent an active and widely-recognized area of Grid Computing research. In this paper, we introduce the so-called Grid-based RTSOA frameworks , which essentially combine Grid Computing with real-time service management and execution paradigms, and put the basis for novel research perspectives in data-intensive e -science Grid applications with real-time bound constraints . This novel framework is then specialized to the particular context of Data Transformation services over Grids, which play a relevant role for both Data and Knowledge Grids. Finally, we complete the main contribution of the paper with a rigorous theoretical model for efficiently supporting Grid-based RTSOA frameworks, with particular emphasis to the context of Data Transformation services over Grids, along with its preliminary experimental assessment.