riously hard because of the heterogeneity and non-dedicated system effects of the underlying system. In this paper, we focus on developing a practical performance prediction methodology for such a network of workstations. Quite a few researchers [1,3,7,8,9,12] have contributed useful results to the
An Effective and Practicle Performance Prediction Model for Parallel Computing on Nondedicated Heterogeneous NOW: Volume38,Number 1 (1996), pages 63–80
✍ Scribed by Yong Yan; Xiaodong Zhang; Yongsheng Song
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 10 KB
- Volume
- 41
- Category
- Article
- ISSN
- 0743-7315
No coin nor oath required. For personal study only.
✦ Synopsis
The source of the owner workload model in Sections 3.2.3 and 2.1 was not properly attributed. The discrete time model and model description are directly borrowed from Leutenegger and Sun [1]. A minor modification to the model of Leutenegger and Sun was made to incorporate the processing power and owner workload heterogeneity. Specifically, P becomes P i and O becomes O i , where the subscript i denotes a specific processor, so that the heterogeneity of processor powers and nonuniform owner workloads is represented in the extended model. The authors apologize for failing to give proper attribution of the original work. REFERENCE 1. Leutenegger, S. L., and Sun, X.-H., Distributed computing feasibility in a non-dedicated homogeneous distributed system.
📜 SIMILAR VOLUMES