Distributed computing may be looked at from many points of view. Task scheduling is the viewpoint, where a distributed application can be described as a Directed Acyclic Graph and every node of the graph is executed independently. There are, however, data dependencies and the nodes have to be executed in a specified order. Hence the parallelism of the execution is limited. The scheduling problem is difficult and therefore heuristics are used. However, many inaccuracies are caused by the model used for the system, in which the heuristics are being tested. In this paper we present a tool for simulating the execution of the distributed application on a “real” computer network, and try to tell how the executionis influenced compared to the mode...
Efficient application scheduling is critical for achieving high performance in heterogeneous computi...
Simulation is a very powerful method used for highperformance and high-quality design in distributed...
One of the major challenges in ultrascale systems is the effective scheduling of complex jobs within...
Distributed computing may be looked at from many points of view. Task scheduling is the viewpoint, w...
We model and simulate the execution of parallel jobs represented by directed acyclic graphs on a sys...
International audienceSince the advent of distributed computer systems an active field of research h...
Scheduling the tasks of a distributed application has been an active field of research for several d...
Nowadays, the use of computers to solve complex computational problems is present virtually everywhe...
Proceedings of: First International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2014...
Task graphs provide a simple way to describe scientific workflows (sets of tasks with dependencies) ...
As we know there are different algorithms based on heterogeneous environment. Earliest finish time a...
This paper addresses issues of task clustering-the coalition of several fine grain tasks into single...
In this dissertation, we propose the design of a simulation framework to investigate the performance...
In this paper we present the Grid Scheduling Simulator (GSSIM), a comprehensive and advanced simulat...
A set of four heuristic algorithms is presented to schedule tasks that have headlines and resource r...
Efficient application scheduling is critical for achieving high performance in heterogeneous computi...
Simulation is a very powerful method used for highperformance and high-quality design in distributed...
One of the major challenges in ultrascale systems is the effective scheduling of complex jobs within...
Distributed computing may be looked at from many points of view. Task scheduling is the viewpoint, w...
We model and simulate the execution of parallel jobs represented by directed acyclic graphs on a sys...
International audienceSince the advent of distributed computer systems an active field of research h...
Scheduling the tasks of a distributed application has been an active field of research for several d...
Nowadays, the use of computers to solve complex computational problems is present virtually everywhe...
Proceedings of: First International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2014...
Task graphs provide a simple way to describe scientific workflows (sets of tasks with dependencies) ...
As we know there are different algorithms based on heterogeneous environment. Earliest finish time a...
This paper addresses issues of task clustering-the coalition of several fine grain tasks into single...
In this dissertation, we propose the design of a simulation framework to investigate the performance...
In this paper we present the Grid Scheduling Simulator (GSSIM), a comprehensive and advanced simulat...
A set of four heuristic algorithms is presented to schedule tasks that have headlines and resource r...
Efficient application scheduling is critical for achieving high performance in heterogeneous computi...
Simulation is a very powerful method used for highperformance and high-quality design in distributed...
One of the major challenges in ultrascale systems is the effective scheduling of complex jobs within...