Dedicated clusters are becoming commonly used for high performance parallel processing. Computers of a non-dedicated cluster are often idle or lightly loaded. These under utilised computers can be employed to execute parallel applications. Thus, they have to be shared by parallel and sequential applications, which could lead to the improvement of their execution performance. There is a lack of experimental study showing the behaviour and performance of executing parallel and sequential applications concurrently on a non-dedicated cluster. We present the result of an experimental study into load balancing of a mixture of parallel and sequential applications on a non-dedicated cluster.<br /
This paper discusses the dynamic and static balancing of non-homogenous cluster architectures, simul...
Cluster computing has emerged as a primary and cost-effective platform for running parallel applicat...
Dynamic load balancing is a prerequisite for effectively utilizing large parallel database systems. ...
Currently, coordinated scheduling of multiple parallel applications across computers has been consid...
Studies have shown that most of the computers in a non-dedicated cluster are often idle or lightly l...
Currently, coordinated scheduling of multiple parallel applications across computers has been consid...
Although individual PCs of a cluster are used by their owners to run sequential applications (local ...
In this paper, we have demonstrated how the existing programming environments, tools and middleware ...
This paper examines the plausibility of using a network of workstations (NOW) for a mixture of paral...
Clusters are now composed of non-uniform nodes with different CPUs, disks or network cards so that c...
A parallel concurrent application runs most efficiently and quickly when the workload is distributed...
Abstract—Cluster computing has emerged as a primary and cost-effective platform for running parallel...
This paper show the strength of cluster and load balancing. It is important to technical people to c...
The low cost and availability of clusters of workstations have lead researchers to re-explore distri...
© 2018 Vladimir V. Korkhov, Sergey S. Kobyshev, Alexander B. Degtyarev, Amissi Cubahiro, Luciano Gas...
This paper discusses the dynamic and static balancing of non-homogenous cluster architectures, simul...
Cluster computing has emerged as a primary and cost-effective platform for running parallel applicat...
Dynamic load balancing is a prerequisite for effectively utilizing large parallel database systems. ...
Currently, coordinated scheduling of multiple parallel applications across computers has been consid...
Studies have shown that most of the computers in a non-dedicated cluster are often idle or lightly l...
Currently, coordinated scheduling of multiple parallel applications across computers has been consid...
Although individual PCs of a cluster are used by their owners to run sequential applications (local ...
In this paper, we have demonstrated how the existing programming environments, tools and middleware ...
This paper examines the plausibility of using a network of workstations (NOW) for a mixture of paral...
Clusters are now composed of non-uniform nodes with different CPUs, disks or network cards so that c...
A parallel concurrent application runs most efficiently and quickly when the workload is distributed...
Abstract—Cluster computing has emerged as a primary and cost-effective platform for running parallel...
This paper show the strength of cluster and load balancing. It is important to technical people to c...
The low cost and availability of clusters of workstations have lead researchers to re-explore distri...
© 2018 Vladimir V. Korkhov, Sergey S. Kobyshev, Alexander B. Degtyarev, Amissi Cubahiro, Luciano Gas...
This paper discusses the dynamic and static balancing of non-homogenous cluster architectures, simul...
Cluster computing has emerged as a primary and cost-effective platform for running parallel applicat...
Dynamic load balancing is a prerequisite for effectively utilizing large parallel database systems. ...