We are in the process of building a dynamic, adaptive scheduler for parallel Grid programs, which will form part of the SymGrid-Par middleware for execution of symbolic programs on the Grid. This scheduler will dynamically interact with the applications it controls to obtain foreknowledge of application demands for resources. By monitoring the previous behaviour of the application, it will also be able to obtain foresight of the application's future behaviour. Using both foreknowledge and foresight, this "prescient" scheduler will be able to adapt quickly to changing application demands by tuning the amount of resources allocated to applications "on the fly".</p
Wider adoption of the Grid concept has led to an increasing amount of federated computational, stora...
International audienceGrid middleware performance is typically determined by the resources that are ...
Traditional use of Grid Computing Systems has been for batch jobs in the scientific and academic com...
To achieve improved performance, application schedulers are typically designed to satisfy the resour...
In this paper we propose an adaptive scheduling approach designed to improve the performance of para...
The work presented in this Thesis is about scheduling applications in computational Grids. We study ...
Scheduling in metacomputing environments is an active field of research as the vision of a Computati...
Abstract. This paper presents an adaptive scheduling method, which can be used for parallel applicat...
The main objective of the Intelligent GRID Scheduling System (ISS) project is to provide a middlewar...
Grids involve coordinated resource sharing and problem solving in heterogeneous dynamic environments...
Grid computing—also known as Metacomputing—is an abstraction by which clusters of loosely coupled co...
Scheduling parallel and distributed applications efficiently onto grid environments is a difficult t...
A grid consists of high-end computational, storage, and network resources that, while known a priori...
Batch schedulers commonly used to manage access to parallel computing clusters are not typically con...
Introduction 1 Scheduling -- the assignment of work to resources within a specified timeframe. 0.1 I...
Wider adoption of the Grid concept has led to an increasing amount of federated computational, stora...
International audienceGrid middleware performance is typically determined by the resources that are ...
Traditional use of Grid Computing Systems has been for batch jobs in the scientific and academic com...
To achieve improved performance, application schedulers are typically designed to satisfy the resour...
In this paper we propose an adaptive scheduling approach designed to improve the performance of para...
The work presented in this Thesis is about scheduling applications in computational Grids. We study ...
Scheduling in metacomputing environments is an active field of research as the vision of a Computati...
Abstract. This paper presents an adaptive scheduling method, which can be used for parallel applicat...
The main objective of the Intelligent GRID Scheduling System (ISS) project is to provide a middlewar...
Grids involve coordinated resource sharing and problem solving in heterogeneous dynamic environments...
Grid computing—also known as Metacomputing—is an abstraction by which clusters of loosely coupled co...
Scheduling parallel and distributed applications efficiently onto grid environments is a difficult t...
A grid consists of high-end computational, storage, and network resources that, while known a priori...
Batch schedulers commonly used to manage access to parallel computing clusters are not typically con...
Introduction 1 Scheduling -- the assignment of work to resources within a specified timeframe. 0.1 I...
Wider adoption of the Grid concept has led to an increasing amount of federated computational, stora...
International audienceGrid middleware performance is typically determined by the resources that are ...
Traditional use of Grid Computing Systems has been for batch jobs in the scientific and academic com...