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
VirtualPower: coordinated power management in virtualized enterprise systems
Proceedings of twenty-first ACM SIGOPS symposium on Operating systems principles
Reducing the Energy Consumption of Ethernet with Adaptive Link Rate (ALR)
IEEE Transactions on Computers
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
PowerNap: eliminating server idle power
Proceedings of the 14th international conference on Architectural support for programming languages and operating systems
A Power Benchmarking Framework for Network Devices
NETWORKING '09 Proceedings of the 8th International IFIP-TC 6 Networking Conference
Cutting the electric bill for internet-scale systems
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
Apprehending joule thieves with cinder
Proceedings of the 1st ACM workshop on Networking, systems, and applications for mobile handhelds
Energy-efficient server clusters
PACS'02 Proceedings of the 2nd international conference on Power-aware computer systems
Energy proportionality of an enterprise network
Proceedings of the first ACM SIGCOMM workshop on Green networking
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
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In the service-centric Internet, multiple virtual services (tenants) are overlayed on top of the same infrastructure (both in wide-area networks and in datacenter networks). We propose conserving energy, in this setting, by virtualizing network power consumed by each tenant, feeding back that information to the tenant, and incentivizing the tenant to conserve energy by making their bill proportional to this virtual power. However, virtualizing power in these multitenant networks is tricky since the network is not energy-proportional, i.e., the energy consumption and its monetary expenditure do not reduce with a decrease in load per component. We overcome this limitation by proposing a simple heuristic for billing, that further motivates tenants to align their workload in a manner conducive to optimization by the infrastructure provider.