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NPi-Cluster: A Low Power Energy-Proportional Computing Cluster Architecture
- Source :
- IEEE Access, Vol 5, Pp 16297-16313 (2017)
- Publication Year :
- 2017
- Publisher :
- IEEE, 2017.
-
Abstract
- This paper presents the NPi-Cluster, an energy proportional computing cluster that automatically powers ON or OFF the number of running machines according to the actual processing demand. A theoretical model is proposed, discussed, and implemented on a cluster composed of Raspberry Pi computer boards designed and built in order to test the proposed system architecture. Experimental results show adequate performance of the proposed platform when compared with other web servers running on traditional server architectures, but with considerably less power consumption. The power consumption of the entire cluster is about 14 W when running at maximum performance. In this situation, the system is able to handle more than 450 simultaneous requests, with about 1000 transactions per second, making it possible to be used as a server capable of handling real web workloads with acceptable quality of service. When the requests demand is reduced to a minimum, the power consumption is dynamically reduced until less than 2 W. Additionally, the proposed cluster architecture also provides high availability by reducing single points of failure on the system.
- Subjects :
- Web server
Multi-core processor
General Computer Science
Computer science
Quality of service
Real-time computing
General Engineering
020206 networking & telecommunications
02 engineering and technology
Energy consumption
computer.software_genre
distributed computing
Energy efficiency
020204 information systems
High availability
0202 electrical engineering, electronic engineering, information engineering
Systems architecture
quality of service
Energy proportional computing
General Materials Science
lcsh:Electrical engineering. Electronics. Nuclear engineering
low power electronics
computer
lcsh:TK1-9971
scalability
Subjects
Details
- Language :
- English
- ISSN :
- 21693536
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....3fbe164923ba0e5b4aaf444597ef5655