Affiliation:
1. University of Tartu, Estonia
2. Newcastle University, United Kingdom
Abstract
It has been suggested that the conflicting objectives of high performance and low power consumption in a service center can be met by powering a block of servers on and off, in response to changing demand conditions. To test that proposition, a dynamic operating policy is evaluated in a real-life setting, using the Amazon EC2 cloud platform. The application running on the cluster is a replica of the English edition of Wikipedia, with different streams of requests generated by reading traces from a file and by means of random numbers with a given mean and squared coefficient of variation. The system costs achieved by an 'optimized' version of the policy are compared to those of a simple heuristic and also to a baseline policy consisting of keeping all servers powered on all the time and one where servers are re-allocated periodically but reserves are not employed.
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Networks and Communications,Hardware and Architecture,Software
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A Comprehensive Empirical Study of Query Performance Across GPU DBMSes;ACM SIGMETRICS Performance Evaluation Review;2022-06-20
2. A Comprehensive Empirical Study of Query Performance Across GPU DBMSes;Abstract Proceedings of the 2022 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems;2022-06-06
3. A Comprehensive Empirical Study of Query Performance Across GPU DBMSes;Proceedings of the ACM on Measurement and Analysis of Computing Systems;2022-02-24
4. Incentive-Scheduling Algorithms to Provide Green Computational Data Center;SN Computer Science;2021-04-30
5. A survey and critical analysis on energy generation from datacenter;Data Deduplication Approaches;2021