Energy Consumption and Cost Analysis for Data Centers with Workload Control
| Autor: | Abdellah Ouammou, Mohamed Hanini, Said El Kafhali, Abdelghani Ben Tahar |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer science
business.industry Quality of service Distributed computing 020206 networking & telecommunications Workload Cloud computing 02 engineering and technology Energy consumption computer.software_genre Virtual machine Server 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Data center business computer Efficient energy use |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783319763538 IBICA |
| DOI: | 10.1007/978-3-319-76354-5_9 |
| Popis: | In the context of cloud computing, the energy consumed by the data center is higher because it contains a large number of physical machines, which in turn contain a number of virtual machines resulting in high power consumption. In addition, the cloud provider must provide a high quality of service (QoS) to its customers on the condition of not consuming a large amount of energy. Among the techniques of minimizing energy consumption is to turn down servers when the workload is low and relocate its virtual machines to another server. In this paper, we propose to combine this technique with another that uses a threshold ensuring the condition of not crossing a given level of use capacity of each server. We validate our model by numerical evaluation which demonstrates the effectiveness of the proposition in terms of energy efficiency and QoS improvement. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|