This paper deals with the performance optimization of multiple-task applications in GRID environments. Typically such applications are launched by a Resource Manager, which only takes into account the application’s resource requirements and current availability on the GRID. Here a novel approach is presented, that performs resource management in user space, making it possible to exploit applica...

In this paper we propose a model-based approach to the design of online optimization algorithms, with goal improving tracking solution trajectory (trajectories) w.r.t. state-of-the-art methods. We focus first on quadratic problems time-varying linear term, and use digital control tools (a robust internal model principle) novel algorithm that can achieve zero error by modeling cost dynamical sys...

The Charged System Search (CSS) is combined to chaos to solve mathematical global optimization problems. The CSS is a recently developed meta-heuristic optimization technique inspired by the governing laws of physics and mechanics. The present study introduces chaos into the CSS in order to increase its global search mobility for a better global optimization. Nine chaos-based CSS (CCSS) methods...

Rule–based query optimizers are recognized as particularly valuable for extensible and object–oriented database management systems by providing a high flexibility in adapting query optimization strategies to nonstandard application needs. On the other hand rule–based optimizers are problematic with regard to run–time behavior for more complex queries as the generation of query plans based on a ...

Simulation-based optimization or parameter tuning of discrete stochastic models becomes necessary, when no analytic expression for the goal function is available. Sensitivity analysis on the other hand is used to determine the required degree of detail that is needed when building a model. Both of these tasks are similar in the sense that one needs to repeatedly simulate a model with only sligh...

This study presents an innovative simulation-based optimization tool to select the minimum cost mix of building technologies, in a typical existing household with at least one vehicle, under different energy market scenarios. The proposed approach considers in its solution scheme the integration of building performance improvements, local renewable energy generation, and possible Electric Vehic...

We analyze the problem of computing a correlated equilibrium that optimizes some objective (e.g., social welfare). Papadimitriou and Roughgarden [2008] gave a sufficient condition for the tractability of this problem; however, this condition only applies to a subset of existing representations. We propose a different algorithmic approach for the optimal CE problem that applies to all compact re...

We consider the problem of preference-based search for configurable products. We focus on example-based tools that interactively show both candidates (best options given current preferences) and suggestions to stimulate preference expression. Suggestions are generated to maximize the chance of eliciting further preferences using our lookahead principle. We present Probabilistic Constraint Optim...