A Fast Recognition-Complete Processor Allocation Strategy for Hypercube Computers
IEEE Transactions on Computers
MPI: a message passing interface
Proceedings of the 1993 ACM/IEEE conference on Supercomputing
The interaction of parallel and sequential workloads on a network of workstations
Proceedings of the 1995 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
A worldwide flock of Condors: load sharing among workstation clusters
Future Generation Computer Systems - Special issue: resource management in distributed systems
The utility of exploiting idle workstations for parallel computation
SIGMETRICS '97 Proceedings of the 1997 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Linger Longer: fine-grain cycle stealing for networks of workstations
SC '98 Proceedings of the 1998 ACM/IEEE conference on Supercomputing
Distributed Operating Systems: The Logical Design
Distributed Operating Systems: The Logical Design
The MOSIX Distributed Operating System: Load Balancing for UNIX
The MOSIX Distributed Operating System: Load Balancing for UNIX
Batrun: Utilizing Idle Workstations for Large-Scale Computing
IEEE Parallel & Distributed Technology: Systems & Technology
Dynamic balancing complex workload in workstation networks - challenge, concepts and experience
HPCN Europe '95 Proceedings of the International Conference and Exhibition on High-Performance Computing and Networking
A Comparative Evaluation of Implicit Coscheduling Strategies for Networks of Workstations
HPDC '00 Proceedings of the 9th IEEE International Symposium on High Performance Distributed Computing
Computer
ISPA'04 Proceedings of the Second international conference on Parallel and Distributed Processing and Applications
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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.