Load Balancing and Workstation Autonomy on Amoeba (1995) [12 citations — 1 self]
|
Popular Tags
No tags have been applied to this document.
BibTeX | Add To MetaCart
@ARTICLE{Zhu95loadbalancing,author = {W. Zhu and C. F. Steketee and B. Muilwijk},
title = {Load Balancing and Workstation Autonomy on Amoeba},
journal = {Australian Computer Science Communications},
year = {1995},
volume = {17},
pages = {588--597}
}
Years of Citing Articles
Abstract:
This paper presents the results of a load balancing study carried out on the distributed operating system Amoeba. The study is intended to investigate the effectiveness of different load balancing methodologies on a workstation-based system, specifying job initiation vs. process migration. The results indicate that both methods can improve system performance, such as response time. The results also show that job initiation plays a more important role in a load balancing scheme than process migration for the process migration mechanism used in this work. A number of load balancing algorithms, both centralized and distributed, have been studied in this work. The results of our experiments show that a centralized algorithm outperforms a distributed one in performance and scalability. We also discuss the trading technique used in this study, which allows the owner of a workstation to decide whether join or leave load balancing dynamically. We conclude with a summary of our experiences and suggestions for further work. 1
