Abstract. Grid computing refers to the deployment of a widely distributed architecture for the execution of computationally challenging tasks. The grid provides a set of distributed resources which can be used for “computing on demand ” or for constructing a “virtual supercomputer”. Recently, several researchers started to look at the relation between workflow management and grid computing. The flow of work through a grid can be seen as a classical “workflow”. However, as opposed to the classical workflows, the resources are not humans and are not managed by some centralized client-server architecture. Instead, the grid is highly distributed and the resources are computing power, memory, etc. Currently, there is no conceptual framework for ...
We use Colored Petri Nets (CPNs) for the modeling and performance analysis of grid architectures. We...
We applied colored Petri nets (CPNs) as the formalism that permits modelling, formal analysis and si...
With the advent of Grid and application technologies, scientists and engineers are building more and...
Abstract. Grid computing refers to the deployment of a widely distributed architecture for the execu...
Abstract. Grid computing refers to the deployment of a widely dis-tributed architecture for the exec...
Computing and data-intensive applications in physics, medicine, biology, graphics, and business inte...
Computing and data intensive applications in physics, medicine, biology, graphics, and business inte...
One approach to Grid application programming is to implement services with often-used functionality ...
In the Grid computing community, there are several approaches to execute not only single tasks on si...
Grid computing is now becoming a new computing paradigm and solution for distributed systems and app...
An increasingly popular application programming model for Grids is to deploy often-used functionalit...
One approach to application programming for the Grid is to implement services with often-used functi...
Abstract Graphical workflow modeling tools, such as UML and DAG, can facilitate users to express wor...
We use Colored Petri Nets (CPNs) for the modeling and performance analysis of grid architectures. We...
We applied colored Petri nets (CPNs) as the formalism that permits modelling, formal analysis and si...
With the advent of Grid and application technologies, scientists and engineers are building more and...
Abstract. Grid computing refers to the deployment of a widely distributed architecture for the execu...
Abstract. Grid computing refers to the deployment of a widely dis-tributed architecture for the exec...
Computing and data-intensive applications in physics, medicine, biology, graphics, and business inte...
Computing and data intensive applications in physics, medicine, biology, graphics, and business inte...
One approach to Grid application programming is to implement services with often-used functionality ...
In the Grid computing community, there are several approaches to execute not only single tasks on si...
Grid computing is now becoming a new computing paradigm and solution for distributed systems and app...
An increasingly popular application programming model for Grids is to deploy often-used functionalit...
One approach to application programming for the Grid is to implement services with often-used functi...
Abstract Graphical workflow modeling tools, such as UML and DAG, can facilitate users to express wor...
We use Colored Petri Nets (CPNs) for the modeling and performance analysis of grid architectures. We...
We applied colored Petri nets (CPNs) as the formalism that permits modelling, formal analysis and si...
With the advent of Grid and application technologies, scientists and engineers are building more and...