Mark S. Squillante, David D. Yao, et al.
Performance Evaluation Review
Gang scheduling is an approach for resource allocation in parallel and distributed systems that combines time-sharing with space-sharing to ensure a short response time for interactive tasks and high overall system throughput. In this paper, we present queueing theoretic models for a particular gang scheduling system under a workload representative of large-scale engineering and scientific computing environments. We derive a detailed mathematical analysis of these models, from which we obtain closed-form expressions for different performance measures of interest. Our model and analysis is then used to analyze several fundamental performance tradeoffs associated with gang scheduling.
Mark S. Squillante, David D. Yao, et al.
Performance Evaluation Review
Yingdong Lu, Mayank Sharma, et al.
Probab. Eng. Inf. Sci.
David Gamarnik, Mark S. Squillante
Stochastic Models
Mark S. Squillante
MAMA/ACM SIGMETRICS/IFIP Performance 2019