Inspired by the emerging Cloud Computing challenge, in this paper we provide a comprehensive framework for modeling and managing time bound constraints in data-intensive Grid and Cloud infrastructures, along with its experimental assessment and analysis. We provide both conceptual and theoretical contributions of the proposed framework, along with a heuristic scheme, called RGDTExec, that solves all possible instances of the problem underlying the proposed framework by exploiting a suitable greedy algorithm, called RGDTExecRun. As we demonstrate throughout the paper, the framework keeps several aspects of research innovations that are beneficial in a wide range of application scenarios.

A Novel Heuristic Scheme for Modeling and Managing Time Bound Constraints in Data-Intensive Grid and Cloud Infrastructures

CUZZOCREA, Alfredo Massimiliano;
2014

Abstract

Inspired by the emerging Cloud Computing challenge, in this paper we provide a comprehensive framework for modeling and managing time bound constraints in data-intensive Grid and Cloud infrastructures, along with its experimental assessment and analysis. We provide both conceptual and theoretical contributions of the proposed framework, along with a heuristic scheme, called RGDTExec, that solves all possible instances of the problem underlying the proposed framework by exploiting a suitable greedy algorithm, called RGDTExecRun. As we demonstrate throughout the paper, the framework keeps several aspects of research innovations that are beneficial in a wide range of application scenarios.
9783662455494
9783662455494
http://springerlink.com/content/0302-9743/copyright/2005/
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/2896312
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