Reducing Network Energy Consumption via Sleeping and Rate-Adaptation
By S. Nedevschi, L. Popa, G. Iannaccone, Sylvia Ratnasamy, David Wetherall. Symposium on Networked Systems Design and Implementation, 2008
772 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/c78d01662a2ecb50bce4e5554c61f8edf167de3f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Anne-Cécile Orgerie
- Marcos Dias de Assunção
- Andrew R. Curtis
- Laurent Lefèvre
- Brandon Heller
- Jeffrey C. Mogul
- L. Chiaraviglio
- Ayan Banerjee
Citations in the corpus
- A survey on techniques for improving the energy efficiency of large-scale distributed systems (2014, methodology): “Nedevschi et al. provide a rate adaptation mechanism [Nedevschi et al. 2008], and as they outline, the distribution of operating rates and their corresponding power consumption greatly influence the efficiency of slowdown techniques.”
- GreenTE: Power-aware traffic engineering (2010, background): “Third, a port or a line-card can go into sleep or wake up quickly, in the order of milliseconds, controlled by its host router [3].”
- GreenCloud: a new architecture for green data center (2009, background): “In [26], Nedevschi et al. studied how to maximize the network power saving via sleeping and rate-adaption.”
- ElasticTree: Saving Energy in Data Center Networks (2010, background): “We now show an example of the system in action.”
- Ensuring Safety, Security, and Sustainability of Mission-Critical Cyber–Physical Systems (2012, background): “, frequency scaling of CPU according to the offered workload [55]–[57], (ii) server provisioning, adjusting the number of active servers in a servers depending upon load requirements [25], [58]–[62], (iii) thermal aware spatiotemporal job scheduling at both the chip-level and the data center-level [”
- Survey of Important Issues in UAV Communication Networks (2016, background): “switches to sleep in a manner that ensures the buffering delay penalty is paid only once (not per link) and that routers clear bursts so as to not amplify loss noticeably [114].”
- Minimizing Electricity Cost: Optimization of Distributed Internet Data Centers in a Multi-Electricity-Market Environment (2010, background): “While most of the new technologies have been developed aim to reduce the total power consumptions of IDCs[5], [8], [10], [18], [25], [28], [35], we are lacking a holistic approach to help better reduce the total electricity cost of IDC service providers.”
- DevoFlow: scaling flow management for high-performance networks (2011, background): “Proposed approaches including shutting off switch and router components when they are idle, or adapting link rates to be as minimal as possible [3,7,27,28,40].”
- On the design of green reconfigurable router toward energy efficient internet (2011, background): “It is stated that the average utilization of backbone links is less than 30 percent [4].”
- Energy Efficiency in the Future Internet: A Survey of Existing Approaches and Trends in Energy-Aware Fixed Network Infrastructures (2011, methodology): “Starting from these considerations, Nedevschi [73] firstly proposed to support such energy-aware capabilities (with a special reference to the idle logic) with I/O traffic handling mechanisms, able to shape traffic profiles in order to optimally exploit idle logic and performance scaling.”
- Minimizing ISP Network Energy Cost: Formulation and Solutions (2012, background): “The evaluation of power-aware management schemes for networks is argued in [21].”