Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
The Architecture of the Earth System Modeling Framework
Computing in Science and Engineering
A chance-constrained multi-period model for a special multi-reservoir system
Computers and Operations Research
Concurrency and Computation: Practice & Experience - Computational Frameworks
A simulation model for assessing the uncertainties of wind farm production
MS '07 The 18th IASTED International Conference on Modelling and Simulation
Cordies: expressive event correlation in distributed systems
Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems
Foundations for smarter cities
IBM Journal of Research and Development
The application of publish/subscribe messaging to environmental, monitoring, and control systems
IBM Journal of Research and Development
Intelligent enterprise architecture
IBM Journal of Research and Development
Sensor andrew: large-scale campus-wide sensing and actuation
IBM Journal of Research and Development
Enabling integrated city operations
IBM Journal of Research and Development
From invisible grids to smart cloud computing
Euro-Par 2010 Proceedings of the 2010 conference on Parallel processing
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During the last 50 years, population growth, along with increasingly affluent societies, has resulted in a greater demand for our limited physical infrastructures and natural resources than ever before. In addition, the risks of climate change have heightened the need for more sophisticated ways of controlling carbon emissions. Today, numerous streams of data are being collected from sensors that monitor the environment. When used in conjunction with computational models, these streams can be important sources of data for understanding physical phenomena and human behavior. In this paper, we present a vision of a pervasively instrumented world in which these streams of real-world data are combined with mathematical models to improve the ability to manage the consumption of increasingly scarce resources. Such an instrumented world requires a class of information technology systems that combine very large numbers of sensors and actuators with computing platforms for capturing and analyzing such data streams. We provide details on the characteristics, requirements, and possible applications of such platforms and the key roles that they will play in addressing various societal challenges.