Customized dynamic load balancing for a network of workstations
Journal of Parallel and Distributed Computing
Application-level scheduling on distributed heterogeneous networks
Supercomputing '96 Proceedings of the 1996 ACM/IEEE conference on Supercomputing
Scheduling and Load Balancing in Parallel and Distributed Systems
Scheduling and Load Balancing in Parallel and Distributed Systems
Load Balancing Highly Irregular Computations with the Adaptive Factoring
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
A Load Balancing Tool for Distributed Parallel Loops
CLADE '03 Proceedings of the 1st International Workshop on Challenges of Large Applications in Distributed Environments
Forecasting network performance to support dynamic scheduling using the network weather service
HPDC '97 Proceedings of the 6th IEEE International Symposium on High Performance Distributed Computing
Adaptive Distributed Computing through Competition
ICCDS '96 Proceedings of the 3rd International Conference on Configurable Distributed Systems
Parallel S.O.R. iterative methods
Parallel Computing
Trace-based evaluation of job runtime and queue wait time predictions in grids
Proceedings of the 18th ACM international symposium on High performance distributed computing
Resource optimization in distributed real-time multimedia applications
Multimedia Tools and Applications
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Grids functionally combine globally distributed computers and information systems for creating a universal source of computing power and information A key characteristic of grids is that resources (e.g., CPU cycles and network capacities) are shared among numerous applications, and therefore, the amount of resources available to any given application highly fluctuates over time In this paper we analyze the impact of the fluctuations in the processing speed on the performance of grid applications Extensive lab experiments show that the burstiness in processing speeds has a dramatic impact on the running times, which heightens the need for dynamic load balancing schemes to realize good performance Our results demonstrate that a simple dynamic load balancing scheme based on forecasts via exponential smoothing is highly effective in reacting to the burstiness in processing speeds.