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Modeling and evaluating nonfunctional properties such as performance, power, and reliability of embedded systems are tasks of utmost importance. In this article, we introduce MAESTRO, a methodology for the modeling and evaluation of nonfunctional ...

The master/worker (MW) paradigm can be used as an approach to parallel discrete event simulation (PDES) on metacomputing systems. MW PDES applications incur overheads not found in conventional PDES executions executing on tightly coupled machines. We ...

Models play a central role for climate change policy-makers, but they're often so complex and computationally demanding that experts must run them and interpret their results. This reduces stakeholders' ability to explore alternative scenarios, ...

MASCEM uses reinforcement learning algorithms to provide players with strategic capabilities in electricity markets, helping them react to the dynamic environment and adapt their bids accordingly.

In 2002, the National Science Foundation established the Network for Computational Nanotechnology (NCN), a network of universities supporting the National Nanotechnology Initiative by bringing computational tools online, making the tools easy to use, ...

We speculate on a novel role virtualization could play in creating a rounded, balanced physical science and engineering software ecosystem to support petascale computational science. The motivation for this analysis is a quest for ways to engage a ...

ATLAS is a modeling language that permits a static view of a city section to be defined for simulating traffic in closed areas. We propose a methodology that is focused on the user while being able to improve the software development activities. The ...

Design of a distributed transaction processing system is a complex process. The paper describes the design and implementation of a general purpose scalable simulation environment (SimDS) for designing and evaluating the performance of distributed ...