DENS: Data Center Energy-Efficient Network-Aware Scheduling
Open accessAbstract
In modern data centers, energy consumption accounts for a considerably large slice of operational expenses. The state of the art in data center energy optimization is focusing only on job distribution between computing servers based on workload or thermal profiles. This paper underlines the role of communication fabric in data center energy consumption and presents a scheduling approach that combines energy efficiency and network awareness, termed DENS. The DENS methodology balances the energy consumption of a data center, individual job performance, and traffic demands. The proposed approach optimizes the tradeoff between job consolidation (to minimize the amount of computing servers) and distribution of traffic patterns (to avoid hotspots in the data center network).
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- Authors
- Kliazovich, D., Bouvry, P., & Khan, S. U.
- Affiliations
- University of Luxembourg (LU)
- North Dakota State University (US)
- Venue
- 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
- Publisher
- IEEE
- Published
- 2010-12
- Pages
- 69-75
- OpenAlex
- W2159730421
- Cited by
- 239
- References
- 31
- Citations by year
- 2025: 1 · 2024: 3 · 2023: 4 · 2022: 2 · 2021: 19 · 2020: 11 · 2019: 16 · 2018: 24 · 2017: 25 · 2016: 23 · 2015: 39 · 2014: 27 · 2013: 22 · 2012: 17
- FWCI
- 10.11
- Type
- conference paper
- Language
- en
- Open access
- green
- orbilu.uni.lu
- Licence
- other-oa
- Locations
- IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) (publishedVersion)
- Open Repository and Bibliography (University of Luxembourg) (submittedVersion, other-oa)
- Topics
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
- Physical Sciences › Computer Science › Computer Networks and Communications › Distributed and Parallel Computing Systems
- Keywords
- data center energy efficiency, network-aware scheduling, employment distribution, energy-performance trade-off, dens
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