International audienceIn this article, we expose how the availability of an increasing computational power affects scheduling problems that uses grid computing to utilize this power. We first present how scheduling problems are currently handled, and the so-called "next-generation" clusters that will have different needs. Starting from those, we discuss "real-life" issues that will affect the scheduling and its resolutions and we expose how it affects scheduling and assignment problems. Then, we conclude with discussing some emerging methods to increase scheduling performances
The growing computational power requirements of grand challenge applications has promoted the need f...
Grid computing is growing rapidly in the distributed heterogeneous systems for utilizing and sharing...
International audienceIn this paper, we study the impact of task reallocations/migrations on a Grid ...
Grid Computing is an evolving discipline in the field of Distributed Computing, whose main focus is ...
Thanks to advances in wide-area network technologies and the low cost of computing resources, Grid c...
International audienceScheduling in computational grids addresses the allocation of computing jobs t...
Introduction 1 Scheduling -- the assignment of work to resources within a specified timeframe. 0.1 I...
An important problem that arises in the area of grid computing is one of optimally assigning jobs to...
Grid computing is a type of distributed computing that distributes the tasks to a group of network c...
Abstract — Computational grids have the potential for solving large-scale scientific problems using ...
Abstract: Thanks to vast improvements in wide-area network performance and powerful yet low-cost com...
AbstractA computational grid essentially represents a dynamic and distributed environment. Unlike, a...
Grid computing can be thought of as large-scale distributed cluster computing and distributed parall...
Grid computing has emerged as the next-generation parallel and distributed computing that aggregates...
Users and resources frequently join and leave computational grid, hence the state of the grid change...
The growing computational power requirements of grand challenge applications has promoted the need f...
Grid computing is growing rapidly in the distributed heterogeneous systems for utilizing and sharing...
International audienceIn this paper, we study the impact of task reallocations/migrations on a Grid ...
Grid Computing is an evolving discipline in the field of Distributed Computing, whose main focus is ...
Thanks to advances in wide-area network technologies and the low cost of computing resources, Grid c...
International audienceScheduling in computational grids addresses the allocation of computing jobs t...
Introduction 1 Scheduling -- the assignment of work to resources within a specified timeframe. 0.1 I...
An important problem that arises in the area of grid computing is one of optimally assigning jobs to...
Grid computing is a type of distributed computing that distributes the tasks to a group of network c...
Abstract — Computational grids have the potential for solving large-scale scientific problems using ...
Abstract: Thanks to vast improvements in wide-area network performance and powerful yet low-cost com...
AbstractA computational grid essentially represents a dynamic and distributed environment. Unlike, a...
Grid computing can be thought of as large-scale distributed cluster computing and distributed parall...
Grid computing has emerged as the next-generation parallel and distributed computing that aggregates...
Users and resources frequently join and leave computational grid, hence the state of the grid change...
The growing computational power requirements of grand challenge applications has promoted the need f...
Grid computing is growing rapidly in the distributed heterogeneous systems for utilizing and sharing...
International audienceIn this paper, we study the impact of task reallocations/migrations on a Grid ...