Data networks
Introduction to the Design and Analysis of Algorithms
Introduction to the Design and Analysis of Algorithms
Profile-based dynamic voltage and frequency scaling for a multiple clock domain microprocessor
Proceedings of the 30th annual international symposium on Computer architecture
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Computing optimal max-min fair resource allocation for elastic flows
IEEE/ACM Transactions on Networking (TON)
MapReduce: simplified data processing on large clusters
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Reducing network energy consumption via sleeping and rate-adaptation
NSDI'08 Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation
A scalable, commodity data center network architecture
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
Dcell: a scalable and fault-tolerant network structure for data centers
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
PowerNap: eliminating server idle power
Proceedings of the 14th international conference on Architectural support for programming languages and operating systems
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
PortLand: a scalable fault-tolerant layer 2 data center network fabric
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
VL2: a scalable and flexible data center network
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
BCube: a high performance, server-centric network architecture for modular data centers
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
HotPower'08 Proceedings of the 2008 conference on Power aware computing and systems
Energy aware consolidation for cloud computing
HotPower'08 Proceedings of the 2008 conference on Power aware computing and systems
ElasticTree: saving energy in data center networks
NSDI'10 Proceedings of the 7th USENIX conference on Networked systems design and implementation
Cost-Effective Routing for a Greener Internet
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
VMFlow: leveraging VM mobility to reduce network power costs in data centers
NETWORKING'11 Proceedings of the 10th international IFIP TC 6 conference on Networking - Volume Part I
Computer Networks: The International Journal of Computer and Telecommunications Networking
A study of pricing for cloud resources
ACM SIGMETRICS Performance Evaluation Review
Greening data center networks with throughput-guaranteed power-aware routing
Computer Networks: The International Journal of Computer and Telecommunications Networking
A study towards applying thermal inertia for energy conservation in rooms
ACM Transactions on Sensor Networks (TOSN)
Eco-sustainable routing in optical networks
Photonic Network Communications
A hop-by-hop energy efficient distributed routing scheme
ACM SIGMETRICS Performance Evaluation Review
Joint virtual machine assignment and traffic engineering for green data center networks
ACM SIGMETRICS Performance Evaluation Review
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The goal of data center network is to interconnect the massive number of data center servers, and provide efficient and fault-tolerant routing service to upper-layer applications. To overcome the problem of tree architecture in current practice, many new network architectures are proposed, represented by Fat-Tree, BCube, and etc. A consistent theme in these new architectures is that a large number of network devices are used to achieve 1:1 oversubscription ratio. However, at most time, data center traffic is far below the peak value. The idle network devices will waste significant amount of energy, which is now a headache for many data center owners. In this paper, we discuss how to save energy consumption in high-density data center networks in a routing perspective. We call this kind of routing energy-aware routing. The key idea is to use as few network devices to provide the routing service as possible, with no/little sacrifice on the network performance. Meanwhile, the idle network devices can be shutdown or put into sleep mode for energy saving. We establish the model of energy-aware routing in data center network, and design a heuristic algorithm to achieve the idea. Our simulation in typical data center networks shows that energy-aware routing can effectively save power consumed by network devices.