Managing energy and server resources in hosting centers
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
A Feasibility Study for Power Management in LAN Switches
ICNP '04 Proceedings of the 12th IEEE International Conference on Network Protocols
Power provisioning for a warehouse-sized computer
Proceedings of the 34th annual international symposium on Computer architecture
Reducing the Energy Consumption of Ethernet with Adaptive Link Rate (ALR)
IEEE Transactions on Computers
No "power" struggles: coordinated multi-level power management for the data center
Proceedings of the 13th international conference on Architectural support for programming languages and operating systems
Reducing network energy consumption via sleeping and rate-adaptation
NSDI'08 Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation
Energy-aware server provisioning and load dispatching for connection-intensive internet services
NSDI'08 Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation
The cost of a cloud: research problems in data center networks
ACM SIGCOMM Computer Communication Review
Skilled in the art of being idle: reducing energy waste in networked systems
NSDI'09 Proceedings of the 6th USENIX symposium on Networked systems design and implementation
Energy proportional datacenter networks
Proceedings of the 37th annual international symposium on Computer architecture
Energy proportionality of an enterprise network
Proceedings of the first ACM SIGCOMM workshop on Green networking
Sleepless in seattle no longer
USENIXATC'10 Proceedings of the 2010 USENIX conference on USENIX annual technical conference
DENS: Data Center Energy-Efficient Network-Aware Scheduling
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
DevoFlow: scaling flow management for high-performance networks
Proceedings of the ACM SIGCOMM 2011 conference
Using OMNeT++ for energy optimization simulations in mobile core networks
Proceedings of the 5th International ICST Conference on Simulation Tools and Techniques
A High-Grained Traffic Prediction for Microseconds Power Control in Energy-Aware Routers
UCC '12 Proceedings of the 2012 IEEE/ACM Fifth International Conference on Utility and Cloud Computing
Energy-Efficient virtual machine placement in data centers by genetic algorithm
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
DENS: data center energy-efficient network-aware scheduling
Cluster Computing
ISRN Communications and Networking
State-of-the-art research study for green cloud computing
The Journal of Supercomputing
A study on micro level traffic prediction for energy-aware routers
ACM SIGOPS Operating Systems Review
A survey on Green communications using Adaptive Link Rate
Cluster Computing
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Networking devices today consume a non-trivial amount of energy and it has been shown that this energy consumption is largely independent of the load through the devices. With a strong need to curtail the rising operational costs of IT infrastructure, there is a tremendous opportunity for introducing energy awareness in the design and operation of enterprise and data center networks. We focus on these networks as they are under the control of a single administrative domain in which network-wide control can be consistently applied. In this paper, we describe and analyze three approaches to saving energy in single administrative domain networks, without significantly impacting the networks' ability to provide the expected levels of performance and availability. We also explore the trade-offs between conserving energy and meeting performance and availability requirements. We conduct an extensive case study of our algorithms by simulating a real Web 2.0 workload in a real data center network topology using power characterizations that we obtain from real network hardware. Our results indicate that for our workload and data center scenario, 16% power savings (with no performance penalty and small decrease in availability) can be obtained merely by appropriately adjusting the active network elements (links). Significant additional savings (up to 75%) can be obtained by incorporating network traffic management and server workload consolidation.