Network Virtualization in Future Home Environments

Berl, Andreas; Weidlich, Roman; Schrank, Michael; Hlavacs, Helmut; Meer, Hermann de

doi:10.1007/978-3-642-04989-7_14

Cited by 7 publications

(2 citation statements)

References 17 publications

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“…Another approach that increases energy efficiency in data centres is based on server consolidation by service virtualization [21][22][23][24][25]. Virtualization partitions computational resources and allows the sharing of hardware.…”

Section: Energy-aware Scheduling In Multiprocessor and Grid Systemsmentioning

confidence: 99%

Energy-Efficient Cloud Computing

Berl

Gelenbe

Girolamo

et al. 2009

The Computer Journal

551

268

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Energy efficiency is increasingly important for future information and communication technologies (ICT), because the increased usage of ICT, together with increasing energy costs and the need to reduce green house gas emissions call for energy-efficient technologies that decrease the overall energy consumption of computation, storage and communications. Cloud computing has recently received considerable attention, as a promising approach for delivering ICT services by improving the utilization of data centre resources. In principle, cloud computing can be an inherently energy-efficient technology for ICT provided that its potential for significant energy savings that have so far focused on hardware aspects, can be fully explored with respect to system operation and networking aspects. Thus this paper, in the context of cloud computing, reviews the usage of methods and technologies currently used for energy-efficient operation of computer hardware and network infrastructure.After surveying some of the current best practice and relevant literature in this area, this paper identifies some of the remaining key research challenges that arise when such energy-saving techniques are extended for use in cloud computing environments.

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Section: Energy-aware Scheduling In Multiprocessor and Grid Systemsmentioning

confidence: 99%

Energy-Efficient Cloud Computing

Berl

Gelenbe

Girolamo

et al. 2009

The Computer Journal

551

268

View full text Add to dashboard Cite

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“…The authors also propose bandwidth and track isolation between slices using FlowVisor [29]. Berl et al [3] present an energy efficient virtual home environment which enables resource sharing between users in home networks. The authors also investigate legacy virtualization approaches (i.e.…”

Section: Related Workmentioning

confidence: 99%

Flexible traffic management in broadband access networks using Software Defined Networking

Rückert

Bifulco

Rizwan-Ul-Haq

et al. 2014

2014 IEEE Network Operations and Management Symposium (NOMS)

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Abstract-Over the years, the demand for high bandwidth services, such as live and on-demand video streaming, steadily increased. The adequate provisioning of such services is challenging and requires complex network management mechanisms to be implemented by Internet service providers (ISPs). In current broadband network architectures, the traffic of subscribers is tunneled through a single aggregation point, independent of the different service types it belongs to. While having a single aggregation point eases the management of subscribers for the ISP, it implies huge bandwidth requirements for the aggregation point and potentially high end-to-end latency for subscribers. An alternative would be a distributed subscriber management, adding more complexity to the management itself. In this paper, a new traffic management architecture is proposed that uses the concept of Software Defined Networking (SDN) to extend the existing Ethernet-based broadband network architecture, enabling a more efficient traffic management for an ISP. By using SDN-enabled home gateways, the ISP can configure traffic flows more dynamically, optimizing throughput in the network, especially for bandwidth-intensive services. Furthermore, a proofof-concept implementation of the approach is presented to show the general feasibility and study configuration tradeoffs. Analytic considerations and testbed measurements show that the approach scales well with an increasing number of subscriber sessions.

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