Allocating tasks to machines in computing clusters is described. In an embodiment a set of tasks associated with a job are received at a scheduler. In an embodiment an index can be computed for each combination of tasks and processors and stored in a lookup table. In an example the index may be include an indication of the preference for the task to be processed on a particular processor, an indication of a waiting time for the task to be processed and an indication of how other tasks being processed in the computing cluster may be penalized by assigning a task to a particular processor. In an embodiment tasks are assigned to a processor by accessing the lookup table, selecting a task for processing using the index and scheduling the select...
Abstract. A Task Graph (TG) is a model of a parallel program that consists of many subtasks that can...
In this paper we present a scheduling strategy for workstation clusters able to effectively and fair...
Abstract – Tasks in modern data-parallel clusters have highly di-verse resource requirements alongCP...
Scheduling of sporadic task systems on multiprocessor platforms is an area which has received much a...
Nowadays a large number of scheduling algorithms for the use in distributed computing en-vironments....
Scheduling a large number of applications on a cluster computing environment is a serious obstacle t...
Abstract. Application scheduling plays an important role in high-performance cluster computing. Appl...
The recent development of distributed processing platforms, such as clusters of workstations, makes ...
scheduling In this paper, we utilize a bandwidth-centric job communication model that captures the i...
Abstract—Although there has been tremendous increase in PC power and most of it is not fully harness...
Today’s world demands a lot of computing power for many different applications. Distributed systems ...
This paper addresses issues of task clustering-the coalition of several fine grain tasks into single...
Due to current advances in high-speed networks and improved microprocessor performance, clusters are...
In order to process very large graphs, existing graph processing systems, such as Pregel and Giraph,...
Loosely coupled applications composed of a potentially very large number (from tens of thousands to ...
Abstract. A Task Graph (TG) is a model of a parallel program that consists of many subtasks that can...
In this paper we present a scheduling strategy for workstation clusters able to effectively and fair...
Abstract – Tasks in modern data-parallel clusters have highly di-verse resource requirements alongCP...
Scheduling of sporadic task systems on multiprocessor platforms is an area which has received much a...
Nowadays a large number of scheduling algorithms for the use in distributed computing en-vironments....
Scheduling a large number of applications on a cluster computing environment is a serious obstacle t...
Abstract. Application scheduling plays an important role in high-performance cluster computing. Appl...
The recent development of distributed processing platforms, such as clusters of workstations, makes ...
scheduling In this paper, we utilize a bandwidth-centric job communication model that captures the i...
Abstract—Although there has been tremendous increase in PC power and most of it is not fully harness...
Today’s world demands a lot of computing power for many different applications. Distributed systems ...
This paper addresses issues of task clustering-the coalition of several fine grain tasks into single...
Due to current advances in high-speed networks and improved microprocessor performance, clusters are...
In order to process very large graphs, existing graph processing systems, such as Pregel and Giraph,...
Loosely coupled applications composed of a potentially very large number (from tens of thousands to ...
Abstract. A Task Graph (TG) is a model of a parallel program that consists of many subtasks that can...
In this paper we present a scheduling strategy for workstation clusters able to effectively and fair...
Abstract – Tasks in modern data-parallel clusters have highly di-verse resource requirements alongCP...