NPi-Cluster: A Low Power Energy-Proportional Computing Cluster Architecture
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 board...
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doaj-90685a9c687b4357b09dac6f435df4c22021-03-29T20:05:44ZengIEEEIEEE Access2169-35362017-01-015162971631310.1109/ACCESS.2017.27287208004443NPi-Cluster: A Low Power Energy-Proportional Computing Cluster ArchitectureSebastiao Emidio Alves Filho0https://orcid.org/0000-0002-2029-4726Aquiles Medeiros Filgueira Burlamaqui1Rafael Vidal Aroca2Luiz Marcos Garcia Goncalves3Departamento de Informática, Universidade do Estado do Rio Grande do Norte, Mossoró, BrazilUniversidade Federal do Rio Grande do Norte, Natal, BrazilUniversidade Federal de São Carlos, São Carlos, BrazilUniversidade Federal do Rio Grande do Norte, Natal, BrazilThis 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.https://ieeexplore.ieee.org/document/8004443/Energy efficiencyscalabilityquality of servicedistributed computinglow power electronics |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sebastiao Emidio Alves Filho Aquiles Medeiros Filgueira Burlamaqui Rafael Vidal Aroca Luiz Marcos Garcia Goncalves |
spellingShingle |
Sebastiao Emidio Alves Filho Aquiles Medeiros Filgueira Burlamaqui Rafael Vidal Aroca Luiz Marcos Garcia Goncalves NPi-Cluster: A Low Power Energy-Proportional Computing Cluster Architecture IEEE Access Energy efficiency scalability quality of service distributed computing low power electronics |
author_facet |
Sebastiao Emidio Alves Filho Aquiles Medeiros Filgueira Burlamaqui Rafael Vidal Aroca Luiz Marcos Garcia Goncalves |
author_sort |
Sebastiao Emidio Alves Filho |
title |
NPi-Cluster: A Low Power Energy-Proportional Computing Cluster Architecture |
title_short |
NPi-Cluster: A Low Power Energy-Proportional Computing Cluster Architecture |
title_full |
NPi-Cluster: A Low Power Energy-Proportional Computing Cluster Architecture |
title_fullStr |
NPi-Cluster: A Low Power Energy-Proportional Computing Cluster Architecture |
title_full_unstemmed |
NPi-Cluster: A Low Power Energy-Proportional Computing Cluster Architecture |
title_sort |
npi-cluster: a low power energy-proportional computing cluster architecture |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2017-01-01 |
description |
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. |
topic |
Energy efficiency scalability quality of service distributed computing low power electronics |
url |
https://ieeexplore.ieee.org/document/8004443/ |
work_keys_str_mv |
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