DocumentCode :
1245271
Title :
Grid Computing and Beyond: The Context of Dynamic Data Driven Applications Systems
Author :
Darema, Frederica
Author_Institution :
Nat. Sci. Found., Arlington, VA, USA
Volume :
93
Issue :
3
fYear :
2005
fDate :
3/1/2005 12:00:00 AM
Firstpage :
692
Lastpage :
697
Abstract :
The advent of Grid computing has enhanced our capabilities to model and simulate complex systems arising in scientific, engineering, and commercial applications. The premise of Grid computing has been "on-demand" availability of computational resources to an application as needed, in the same manner as electricity is provided readily through electrical power grids. The computational grid (or simply the "Grid") entails ubiquitous access to resources (local or remote), such as computation and communication resources, as well as access to storage systems and visualization systems. As Grid computing technologies mature, it behooves to look beyond the current capabilities, into more advanced future environments. The environments of interest here are the enhanced capabilities that can be created by the paradigm of dynamic data driven applications systems (DDDAS). DDDAS entails the ability to incorporate additional data into an executing application and, in reverse, the ability of applications to dynamically steer the measurement process. The DDDAS concept offers the promise of improving application models and methods, and augmenting the analysis and prediction capabilities of application simulations and the effectiveness of measurement systems. Enabling this synergistic feedback and control loop between application simulations and measurements requires novel application modeling approaches and frameworks, algorithms stable under dynamic data injection and steering conditions, and new systems software and computational infrastructure capabilities. Recent advances in complex applications and the advent of Grid computing and sensor systems are some of the technologies that make it timely to embark in developing DDDAS capabilities. DDDAS environments extend the current notion of Grid infrastructure to also include the measurement systems in an integrated and synergistic way. DDDAS environments require support and services that go beyond the current Grid services in terms of t
Keywords :
grid computing; measurement systems; systems software; communication resources; computational grid; computational infrastructure technology; computational resources; control loop; dynamic data driven applications systems; electrical power grids; feedback; grid computing; grid infrastructure; grid services; measurement systems; sensor systems; storage systems; systems software technology; visualization systems; Application software; Availability; Computational modeling; Grid computing; Pervasive computing; Power engineering and energy; Power engineering computing; Power grids; Power system modeling; Predictive models; Adaptive measurements; adaptive simulations; computational grids; continuous steering; data grids; dynamic control; dynamic instrumentation; dynamic integration; on-demand measurements; sensor networks;
fLanguage :
English
Journal_Title :
Proceedings of the IEEE
Publisher :
ieee
ISSN :
0018-9219
Type :
jour
DOI :
10.1109/JPROC.2004.842783
Filename :
1398021
Link To Document :
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