NDLI: Grid Computing and Beyond: The Context of Dynamic Data Driven Applications Systems

Content Provider	IEEE Xplore Digital Library
Author	Darema, F.
Copyright Year	1963
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
Sponsorship	IEEE Publication
Starting Page	692
Ending Page	697
Page Count	6
File Size	141590
File Format	PDF
ISSN	00189219
Volume Number	93
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-03-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Grid computing Application software Computational modeling Pervasive computing Power engineering computing Predictive models Power system modeling Power engineering and energy Availability Power grids sensor networks Adaptive measurements adaptive simulations computational grids continuous steering data grids dynamic control dynamic instrumentation dynamic integration on-demand measurements
Content Type	Text
Resource Type	Article
Subject	Computer Science Electrical and Electronic Engineering

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