Managing power consumption in networks on chips

Simunic, T.; Boyd, Stephen

doi:10.1109/date.2002.998257

Cited by 55 publications

(46 citation statements)

References 21 publications

(11 reference statements)

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“…However, it is true only in the cases that turning on and turning off WNIs do not consume energy. As pointed out in [24], in reality turning on and turning off the WNIs consume some time and energy, and the transition times of a WNI from active mode to doze mode and from doze mode to active mode are both on the order of tens milliseconds.…”

Section: Data Indexingmentioning

confidence: 99%

A QoS-Aware and Energy-Conserving Transcoding Proxy Using On-Demand Data Broadcasting

Huang

Chen

2007

IEEE Trans. on Mobile Comput.

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Most research works in transcoding proxies in mobile computing environments are on the basis of the traditional client-server architecture and do not employ the data broadcast technique. In addition, the issues of QoS provision and energy conservation are also not addressed in the prior studies. In view of this, we design in this paper a QoS-aware and energy-conserving transcoding proxy by utilizing the on-demand broadcasting technique. We first propose a QoS-aware and energy-conserving transcoding proxy architecture, abbreviated as QETP, and model it as a queueing network consisting of three queues. By analyzing the queueing network, three lemmas are derived to estimate the load these queues. We then propose a version decision policy and a service admission control scheme to provide QoS in QETP. The derived lemmas are used to guide the execution of the proposed version decision policy and service admission control scheme to achieve the given QoS requirement. In addition, we also propose a data indexing method to reduce power consumption of clients. To measure the performance of the proposed architecture, three experiments are conducted. Experimental results show that the average access time reduction of the proposed scheme over traditional client-server architecture ranges from 45% to 75%. Experimental results also show that the proposed scheme is more scalable than traditional client-server architecture and is able to effectively control the system load to attain the given QoS requirements. In addition, the proposed scheme is able to greatly reduce average tuning time of clients at the cost of a slight increase (around 5% in our experiments) in average access time.

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Section: Data Indexingmentioning

confidence: 99%

A QoS-Aware and Energy-Conserving Transcoding Proxy Using On-Demand Data Broadcasting

Huang

Chen

2007

IEEE Trans. on Mobile Comput.

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“…However, if the prediction is wrong, the potential cost can be quite large. The accuracy of idle period prediction is the keystone of the related studies [17,18].…”

Section:  Predictive Policymentioning

confidence: 99%

Networking Strategies for Structural Health Monitoring in Wireless Sensor Networks

Lim¹,

Park²

2015

IJEIC

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“…For large SoCs, a stochastic optimization methodology based on a closed-loop control model for a unified dynamic voltage and power management at core-level has been presented in Ref. [9]. This optimization includes both node and network-centric views of systems.…”

Section: Related Workmentioning

confidence: 99%

Analysis and Optimization of MPSoC Reliability

Coskun¹,

Rosing²,

Mihić³

et al. 2006

Journal of Low Power Electronics

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Advancements in technology enable integration of multiple devices on a single core, resulting in increased on chip power and temperature densities. Higher temperatures, in turn, present a significant challenge for reliability. In this work we propose a comprehensive framework for analyzing reliability of multi-core systems, considering permanent faults. We show that aggressive power management can have an impact on reliability due to temperature cycling. Our cycle-accurate simulation methodology shows fine-grained variations of device failure rates over short time scales, thus enabling workload analysis and scheduling to control the reliability impact. On the other hand, the statistical reliability simulator and optimizer give a view into the long time horizon reliability analysis-over system lifetime, and help us optimize a power management policy under reliability and performance constraints. We show that our optimization strategy can achieve large power savings while still meeting the reliability and performance constraints.

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Managing power consumption in networks on chips

Cited by 55 publications

References 21 publications

A QoS-Aware and Energy-Conserving Transcoding Proxy Using On-Demand Data Broadcasting

A QoS-Aware and Energy-Conserving Transcoding Proxy Using On-Demand Data Broadcasting

Networking Strategies for Structural Health Monitoring in Wireless Sensor Networks

Analysis and Optimization of MPSoC Reliability

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