Grid technologies enable the sharing of a wide variety of distributed resources. To utilize these resources, effective Resource Management systems are needed. Resource Management system performs resource discovery to obtain information about the available resources. However, the complex and dynamic nature of grid resources make sharing and discovery, a challenging issue. Resource Discovery is i...

ÐThe Computational Grid [12] has been proposed for the implementation of high-performance applications using widely dispersed computational resources. The goal of a Computational Grid is to aggregate ensembles of shared, heterogeneous, and distributed resources (potentially controlled by separate organizations) to provide computational apowero to an application program. In this paper, we provid...

We present an account of scheduling component based applications to run on a computational Grid. We discuss the structure of a Grid, where scheduling fits within the architecture and examine the aims and purpose of a scheduler. A classification for Grid schedulers is given, and applied to a number of existing scheduling algorithms. We examine the scheduling service within the ICENI Grid Middlew...

The steered response power phase transform (SRP-PHAT) is a beamformer method very attractive in acoustic localization applications due to its robustness in reverberant environments. This paper presents a spatial grid design procedure, called the geometrically sampled grid (GSG), which aims at computing the spatial grid by taking into account the discrete sampling of time difference of arrival (...

This paper describes the design philosophy for the Grid system being developed by Japan Committee on HighPerformance Computing for Bioinformatics and Initiative for Parallel Bioinformatics (IPAB). Grid is one of attractive solutions to achieve distributed bioinformtics environment with high performance parallel computers, large genomic databases, computation intensive applications such as homol...

We explore a symmetry-based reformulation technique which can speed up optimal pathfinding on undirected uniform-cost grid maps by over 30 times. Our offline approach decomposes grid maps into a set of empty rectangles, removing from each all interior nodes and possibly some from along the perimeter. We then add macro-edges between selected pairs of remaining perimeter nodes to facilitate prova...

This paper represents a Particle Swarm Optimization (PSO) algorithm, for grid job scheduling. PSO is a population-based search algorithm based on the simulation of the social behavior of bird flocking and fish schooling. Particles fly in problem search space to find optimal or near-optimal solutions. In this paper we used a PSO approach for grid job scheduling. The scheduler aims at minimizing ...

Evolutionary computing (EC) techniques such as genetic algorithm (GA), genetic programming (GP), evolutionary programming (EP) and evolution strategies (ES) mimic nature through natural selection to perform complex optimisation processes that require more than one solutions. Grid-enabled environment provides suitable framework for EC techniques due to its computational and data capabilities. In...

This paper suggests a cooperative spectrum sensing using dynamic double thresholds energy detection and adaptive grid search to obtain the highest probability detection. The proposed double thresholds are adaptive to noise fluctuation. A new fusion method combined of weighting and voting is used in cooperative sensing. Further, in order to obtain the best sensing performance, we firstly use ada...

In this paper, a hybrid method based on A* algorithm and genetic algorithm in grid map is proposed to solve the optimum path planning for mobile robots. In our scheme, A* algorithm is utilized for searching a constrained shortest path quickly, and the global optimal path is obtained by using genetic algorithm to optimize the path. The method makes the path node is not limited to the center of t...