Search Results - subject:"Computational Grid"

Efficient Job Scheduling in Computational Grid Systems Using Wind Driven Optimization Technique

Ghosh, Tarun Kumar; Das, Sanjoy - In: International Journal of Applied Metaheuristic … 9 (2018) 1, pp. 49-59

Computational Grid has been employed for solving complex and large computation-intensive problems with the help of … computational Grid system. Job scheduler has to deal with many heterogeneous computational resources and to take decisions … known as Wind Driven Optimization (WDO) is used for efficiently allocating jobs to resources in a computational Grid system …

Persistent link: https://www.econbiz.de/10012042961

A Novel Hybrid Algorithm Based on Firefly Algorithm and Differential Evolution for Job Scheduling in Computational Grid

Ghosh, Tarun Kumar; Das, Sanjoy - In: International Journal of Distributed Systems and … 9 (2018) 2, pp. 1-15

Scheduling jobs in computational Grids is considered as NP-complete problem owing to the heterogeneity of shared resources. The resources belong to many distributed administrative domains that enforce various management policies. Therefore, the use of meta-heuristics are more appropriate option...

Persistent link: https://www.econbiz.de/10012044194

Job Scheduling in Computational Grid Using a Hybrid Algorithm Based on Particle Swarm Optimization and Extremal Optimization

Ghosh, Tarun Kumar; Das, Sanjoy - In: Journal of Information Technology Research (JITR) 11 (2018) 4, pp. 72-86

mechanism through many distributed administrative domains. One of the most challenging issues in computational Grid is efficient … scheduling of jobs, because of distributed heterogeneous nature of resources. In other words, the job scheduling in computational … Grid is an NP-hard problem. Thus, the use of meta-heuristic is more appropriate option in obtaining optimal results. In …

Persistent link: https://www.econbiz.de/10012049179

ДИАГНОСТИКА СОСТОЯНИЯ КОНСТРУКЦИЙ И СООРУЖЕНИЙ ИНФРАСТРУКТУРЫ РЖД С УЧЕТОМ ИНТЕНСИВНЫХ АЭРОДИНАМИЧЕСКИХ НАГРУЗОК ОТ СКОРОСТНЫХ СОСТАВОВ

МОИСЕЕВИЧ, КАПЛУНОВ САВЕЛИЙ; … - In: Управление большими … (2012) 3, pp. 170-182

Реализуется комплексная методика на основе комбинированного подхода для моделирования аэродинамических нагрузок на элементы инфраструктуры при прохождении...

Persistent link: https://www.econbiz.de/10011248336

A Hybrid Algorithm Using Genetic Algorithm and Cuckoo Search Algorithm to Solve Job Scheduling Problem in Computational Grid Systems

Ghosh, Tarun Kumar; Das, Sanjoy - In: International Journal of Applied Evolutionary … 7 (2016) 2, pp. 1-11

Job scheduling is one of the major challenges in Grid computing systems to efficiently exploit the capabilities of dynamic, autonomous, heterogeneous and distributed resources for execution of different types of jobs. Thus optimal job scheduling is an NP-complete problem which can easily be...

Persistent link: https://www.econbiz.de/10012042694

Advanced neural networks : finance, forecast, and other applications

Mettenheim, Hans-Jörg von - 2010

Neural networks, grid computing, parallelization, high-dimensional optimization, quantitative investment, decision support. - Neuronale Netze, Parallelisierung, hoch-dimensionale Optimierung, quantitatives Investment, Entscheidungsunterstützung

Persistent link: https://www.econbiz.de/10003921954