Determining average program execution times and their variance
PLDI '89 Proceedings of the ACM SIGPLAN 1989 Conference on Programming language design and implementation
Scheduling parallel program tasks onto arbitrary target machines
Journal of Parallel and Distributed Computing - Special issue: software tools for parallel programming and visualization
Scheduling and code generation for parallel architectures
Scheduling and code generation for parallel architectures
PVM: Parallel virtual machine: a users' guide and tutorial for networked parallel computing
PVM: Parallel virtual machine: a users' guide and tutorial for networked parallel computing
Static scheduling of conditional branches in parallel programs
Journal of Parallel and Distributed Computing
Partitioning and Scheduling Parallel Programs for Multiprocessors
Partitioning and Scheduling Parallel Programs for Multiprocessors
Hypertool: A Programming Aid for Message-Passing Systems
IEEE Transactions on Parallel and Distributed Systems
A taxonomy of scheduling in general-purpose distributed computing systems
IEEE Transactions on Software Engineering
Ambassadors: Structured Object Mobility in Worldwide Distributed Systems
ICDCS '99 Proceedings of the 19th IEEE International Conference on Distributed Computing Systems
Multiprocessor scheduling with interprocessor communication delays
Operations Research Letters
A distributed evolutionary method to design scheduling policies for volunteer computing
Proceedings of the 5th conference on Computing frontiers
A distributed evolutionary method to design scheduling policies for volunteer computing
ACM SIGMETRICS Performance Evaluation Review
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Different users of the same application may have vastly different requirements, and therefore completely different usage patterns of the software. This makes the determination of an efficient distribution of the software tasks across the available processors within the distributed system an extremely difficult problem. This paper presents an adaptive system to automatically allocate tasks to processing nodes based on the past usage statistics of each individual user. The system evolves to a stable and efficient allocation scheme. The rate of evolution of the distribution scheme is determined by a collection of parameters that permits the user to fine tune the system to suit their individual needs.