Abstract. This paper presents an adaptive scheduling method, which can be used for parallel applications whose total workload is unknown a priori. This method can deal with the unpredictable execution conditions commonly encountered on grids. To address this scheduling problem, pa-rameters which quantify the dynamic nature of the execution conditions had to be defined. The proposed scheduling method is based on an on-line algorithm so as to be adaptable to the varying execution conditions, but avoids the idle periods inherent to this on-line algorithm
We are in the process of building a dynamic, adaptive scheduler for parallel Grid programs, which wi...
Abstract: Scheduling divisible workloads in distributed systems has been one of the interesting res...
To achieve improved performance, application schedulers are typically designed to satisfy the resour...
AbstractA computational grid essentially represents a dynamic and distributed environment. Unlike, a...
Scheduling in metacomputing environments is an active field of research as the vision of a Computati...
In this paper we propose an adaptive scheduling approach designed to improve the performance of para...
Thanks to advances in wide-area network technologies and the low cost of computing resources, Grid c...
Abstract—Grid computing is an emerging technology which has the potential to solve large scale scien...
Abstract In this paper, we address non preemptive online scheduling of parallel jobs on a Grid. The ...
International audienceIn this paper, we present an adaptive method for scheduling parallel applicati...
AbstractGrid computing enables large-scale resource sharing and collaboration for solving advanced s...
The work presented in this Thesis is about scheduling applications in computational Grids. We study ...
Grid computing—also known as Metacomputing—is an abstraction by which clusters of loosely coupled co...
[[abstract]]In a computational grid environment, a common practice is try to allocate an entire para...
Grids involve coordinated resource sharing and problem solving in heterogeneous dynamic environments...
We are in the process of building a dynamic, adaptive scheduler for parallel Grid programs, which wi...
Abstract: Scheduling divisible workloads in distributed systems has been one of the interesting res...
To achieve improved performance, application schedulers are typically designed to satisfy the resour...
AbstractA computational grid essentially represents a dynamic and distributed environment. Unlike, a...
Scheduling in metacomputing environments is an active field of research as the vision of a Computati...
In this paper we propose an adaptive scheduling approach designed to improve the performance of para...
Thanks to advances in wide-area network technologies and the low cost of computing resources, Grid c...
Abstract—Grid computing is an emerging technology which has the potential to solve large scale scien...
Abstract In this paper, we address non preemptive online scheduling of parallel jobs on a Grid. The ...
International audienceIn this paper, we present an adaptive method for scheduling parallel applicati...
AbstractGrid computing enables large-scale resource sharing and collaboration for solving advanced s...
The work presented in this Thesis is about scheduling applications in computational Grids. We study ...
Grid computing—also known as Metacomputing—is an abstraction by which clusters of loosely coupled co...
[[abstract]]In a computational grid environment, a common practice is try to allocate an entire para...
Grids involve coordinated resource sharing and problem solving in heterogeneous dynamic environments...
We are in the process of building a dynamic, adaptive scheduler for parallel Grid programs, which wi...
Abstract: Scheduling divisible workloads in distributed systems has been one of the interesting res...
To achieve improved performance, application schedulers are typically designed to satisfy the resour...