2014
DOI: 10.1109/tnet.2013.2242485
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Green Networking With Packet Processing Engines: Modeling and Optimization

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Cited by 41 publications
(31 citation statements)
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“…Regarding traffic engineering and load balancing performances, works [114] and [162] provide analytical models to capture the performance of energy-aware network devices, especially those compliant with ACPI standard, that include LPI and AR techniques. As well as, they trade off energy consumption devices for packet forwarding.…”
Section: C) Traffic Engineering: With Traditional Protocolsmentioning
confidence: 99%
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“…Regarding traffic engineering and load balancing performances, works [114] and [162] provide analytical models to capture the performance of energy-aware network devices, especially those compliant with ACPI standard, that include LPI and AR techniques. As well as, they trade off energy consumption devices for packet forwarding.…”
Section: C) Traffic Engineering: With Traditional Protocolsmentioning
confidence: 99%
“…As well as, they trade off energy consumption devices for packet forwarding. Moreover, the optimisation policies presented in [162] focus on the packet processing with respect to the overall device consumption, and able to find the best way to distribute traffic among the packet processing engine's pipelines. As the traffic matrices are considered independent, this algorithm can find different sets of link weights in the optimisation technique for each traffic matrix.…”
Section: C) Traffic Engineering: With Traditional Protocolsmentioning
confidence: 99%
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“…In run-to-completion (RTC) architecture [20], one core handles all the functions, and packets stay on the core until the end of all procedures. In most scenarios, PPAs are designed as pipelines with multiple stages [21]. Each stage performs certain instructions on incoming packets, and delivers the packets to the next stage.…”
Section: Mpl Architecture and Application Characteristicsmentioning
confidence: 99%
“…The power cost brought by hardware devices such as network devices and servers in data centers accounts for a dominant part of the operational costs of data centers (Xu et al, 2013). Both industry and academia have been striving to improve energy efficiency of networking (Bolla et al, 2014) and eventually to realize the so-called energyproportional networking: i.e., the energy consumption is proportional to utilization of network interfaces (Nedevschi et al, 2008).…”
Section: Introductionmentioning
confidence: 99%