The Energy Endoscope: Real-Time Detailed Energy Accounting for Wireless Sensor Nodes

Stathopoulos, Thanos; McIntire, Dustin; Kaiser, William J.

doi:10.1109/ipsn.2008.36

Cited by 38 publications

(14 citation statements)

References 14 publications

(39 reference statements)

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“…Energy models based on extensive hardware and software instrumentation have also been considered [9,27,19]. The Quantto [9] approach is well-suited to the platforms targeted in that work: low power embedded systems.…”

Section: Related Workmentioning

confidence: 99%

“…Several issues such as monitoring memory activity, or buffering of disk IO by the OS, do not arise in Quantto but are significant in virtualized systems. The LEAP platform [27] presents a system where each hardware resource is individually instrumented in hardware to track energy usage. The method in [19] used laboratory instrumentation for hardware power metering.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Virtual machine power metering and provisioning

Kansal

Zhao

Liu

et al. 2010

Proceedings of the 1st ACM Symposium on Cloud Computing

451

311

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Virtualization is often used in cloud computing platforms for its several advantages in efficiently managing resources. However, virtualization raises certain additional challenges, and one of them is lack of power metering for virtual machines (VMs). Power management requirements in modern data centers have led to most new servers providing power usage measurement in hardware and alternate solutions exist for older servers using circuit and outlet level measurements. However, VM power cannot be measured purely in hardware. We present a solution for VM power metering, named Joulemeter. We build power models to infer power consumption from resource usage at runtime and identify the challenges that arise when applying such models for VM power metering. We show how existing instrumentation in server hardware and hypervisors can be used to build the required power models on real platforms with low error. Our approach is designed to operate with extremely low runtime overhead while providing practically useful accuracy. We illustrate the use of the proposed metering capability for VM power capping, a technique to reduce power provisioning costs in data centers. Experiments are performed on server traces from several thousand production servers, hosting Microsoft's realworld applications such as Windows Live Messenger. The results show that not only does VM power metering allow virtualized data centers to achieve the same savings that non-virtualized data centers achieved through physical server power capping, but also that it enables further savings in provisioning costs with virtualization.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Virtual machine power metering and provisioning

Kansal

Zhao

Liu

et al. 2010

Proceedings of the 1st ACM Symposium on Cloud Computing

451

311

View full text Add to dashboard Cite

show abstract

“…This may be as advanced as monitoring the energy harvested from each source [44], inspecting the rate of consumption by different consumers [37], directing the flow of energy from and to different stores and managing the charging of rechargeable stores [22]. Alternatively, this may equate to simply being able to inspect the residual energy in a single store.…”

Section: Energy-aware Wireless Sensor Networkmentioning

confidence: 99%

Energy efficient algorithm for swarmed sensors networks

Obaidy

Ayesh

2015

Sustainable Computing: Informatics and Systems

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“…During the operation mode of the wireless system when the malicious circuitry can be possibly activated, we employ in-field power metering techniques [20][28] [36] to keep track of the power profile. The micro power meter that is integrated into the wireless system is capable of measuring the real-time power profiles and reporting to the remote administrator for further assessment.…”

Section: On-line Ht Detection By In-field Power Measurementsmentioning

confidence: 99%

Wireless security techniques for coordinated manufacturing and on-line hardware trojan detection

Wei

Potkonjak

2012

Proceedings of the Fifth ACM Conference on Security and Privacy in Wireless and Mobile Networks

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This paper addresses the hardware Trojan (HT) attacks that impose severe threats to the security and integrity of wireless networks and systems. We first develop HT attack models by embedding a single HT gate in the target design that triggers advanced malicious attacks. We place the one-gate HT trigger in such a way that it exhibits rare switching activities, consumes ultra-low leakage power, and hides from delay characterizations. Therefore, the HT attack models are capable of bypassing the widely used side channel-based HT detection schemes. Furthermore, based on the HT attack models, we investigate the potential on-line threat models during the system operation and develop an in-field trusted HT detection approach using physical unclonable functions (PUFs). We evaluate the effectiveness of the HT attack and defense models on a set of ISCAS'85, ISCAS'89, and ITC'99 benchmarks.

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The Energy Endoscope: Real-Time Detailed Energy Accounting for Wireless Sensor Nodes

Abstract: Abstract

Cited by 38 publications

References 14 publications

Virtual machine power metering and provisioning

Virtual machine power metering and provisioning

Energy efficient algorithm for swarmed sensors networks

Wireless security techniques for coordinated manufacturing and on-line hardware trojan detection

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