Bruce Nordman

dblp:11/2498 · DBLP profile ↗
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7ranked-venue papers
0as first author
0since 2021 · last 2014
0000-0002-8745-9484ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 5Systems, architecture and hardware · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
3 papers
Energy-efficient computing · 87% Cloud and datacenter computing · 8% Performance modeling and evaluation · 5%
Computer networks
2 papers
Internet architecture and protocols · 43% Wireless networking · 43% Internet of things and sensor networks · 15%

Topics — the 8 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Energy-efficient computing
datacenter energy consumption
0.112011
Estimating the Energy Use and Efficiency Potential of U.S. Data Centers · Proc. IEEE 2011
Energy-efficient computing
datacenter energy efficiency
0.112011
Estimating the Energy Use and Efficiency Potential of U.S. Data Centers · Proc. IEEE 2011
Internet architecture and protocols › local area network
ethernet
0.112008
Reducing the Energy Consumption of Ethernet with Adaptive Link Rate (ALR) · IEEE Trans. Computers 2008
Wireless networking › link adaptation
link rate adaptation
0.112008
Reducing the Energy Consumption of Ethernet with Adaptive Link Rate (ALR) · IEEE Trans. Computers 2008
Energy-efficient computing › power management
energy-efficient networking
0.112008
Reducing the Energy Consumption of Ethernet with Adaptive Link Rate (ALR) · IEEE Trans. Computers 2008
Cloud and datacenter computing
datacenter infrastructure
0.012011
Estimating the Energy Use and Efficiency Potential of U.S. Data Centers · Proc. IEEE 2011
Internet of things and sensor networks
energy management
0.012009
Skilled in the Art of Being Idle: Reducing Energy Waste in Networked Systems · NSDI 2009
Performance modeling and evaluation
queueing models
0.012008
Reducing the Energy Consumption of Ethernet with Adaptive Link Rate (ALR) · IEEE Trans. Computers 2008

Methods — techniques the papers use, named apart from their topics

simulation · 0.2markov modeling · 0.2bottom-up modeling · 0.1
YearPublicationVenuePosition
2014 Back to the future: A need for multi-drop Ethernet for cost-effective power distribution
abstract
Local renewable DC electricity sources, such as solar, have become cost competitive. In this position paper, we argue that an Ethernet LAN with Power-over-Ethernet (PoE) is a nanogrid where the physical layer infrastructure is used for DC electricity distribution and the link-layer capabilities can be used to match electricity supply and demand. To be cost effective with respect to wiring, many of these nanogrids must be multi-drop where each drop may be a power socket. Open challenges to employing PoE as a multi-drop managed nanogrid include 1) extending LLDP for multi-drop, 2) adapting LLDP to support the use of price signals for modulating power demand, 3) achieving efficient PoE power flow in a multi-drop circuit, and 4) implementing low-cost and fair scheduling for packet transmission. We explore how multi-drop Ethernet can be implemented with fair access to all devices by employing at each drop a mini-switch with packet scheduling.
Kenneth J. Christensen, Bruce Nordman
LCN2
2011 Estimating the Energy Use and Efficiency Potential of U.S. Data Centers
abstract
Data centers are a significant and growing component of electricity demand in the United States. This paper presents a bottom-up model that can be used to estimate total data center electricity demand within a region as well as the potential electricity savings associated with energy efficiency improvements. The model is applied to estimate 2008 U.S. data center electricity demand and the technical potential for electricity savings associated with major measures for IT devices and infrastructure equipment. Results suggest that 2008 demand was approximately 69 billion kilowatt hours (1.8% of 2008 total U.S. electricity sales) and that it may be technically feasible to reduce this demand by up to 80% (to 13 billion kilowatt hours) through aggressive pursuit of energy efficiency measures. Measure-level savings estimates are provided, which shed light on the relative importance of different measures at the national level. Measures applied to servers are found to have the greatest contribution to potential savings.
Eric R. Masanet, Richard Brown 0002, Arman Shehabi, Jonathan G. Koomey, Bruce Nordman
Proc. IEEE5
2009 Skilled in the Art of Being Idle: Reducing Energy Waste in Networked Systems
Sergiu Nedevschi, Jaideep Chandrashekar, Junda Liu, Bruce Nordman, Sylvia Ratnasamy, Nina Taft
NSDI4
2008 A Network Connection Proxy to Enable Hosts to Sleep and Save Energy
abstract
Billions of dollars of electricity are being used to keep idle or unused network hosts fully powered-on only to maintain their network presence. We investigate how a network connectivity proxy (NCP) could enable significant energy savings by allowing idle hosts to enter a low-power sleep state and still maintain full network presence. An NCP must handle ARP, ICMP, DHCP, and other low-level network presence tasks for a network host. An NCP must also be able to maintain TCP connections and UDP data flows and to respond to application messages. The focus of this paper is on how TCP connections can be kept alive during periods of host sleep by using a SOCKS-based approach called green SOCKS (gSOCKS) as part of an NCP. The gSOCKS includes awareness of the power state of a host. A prototype implementation of gSOCKS in a Linksys router shows that TCP connections can be preserved.
Miguel Jimeno, Kenneth J. Christensen, Bruce Nordman
IPCCC3
2008 Reducing the Energy Consumption of Ethernet with Adaptive Link Rate (ALR)
abstract
The rapidly increasing energy consumption by computing and communications equipment is a significant economic and environmental problem that needs to be addressed. Ethernet network interface controllers (NICs) in the US alone consume hundreds of millions of US dollars in electricity per year. Most Ethernet links are underutilized and link energy consumption can be reduced by operating at a lower data rate. In this paper, we investigate adaptive link rate (ALR) as a means of reducing the energy consumption of a typical Ethernet link by adaptively varying the link data rate in response to utilization. Policies to determine when to change the link data rate are studied. Simple policies that use output buffer queue length thresholds and fine-grain utilization monitoring are shown to be effective. A Markov model of a state-dependent service rate queue with rate transitions only at service completion is used to evaluate the performance of ALR with respect to the mean packet delay, the time spent in an energy-saving low link data rate, and the oscillation of link data rates. Simulation experiments using actual and synthetic traffic traces show that an Ethernet link with ALR can operate at a lower data rate for over 80 percent of the time, yielding significant energy savings with only a very small increase in packet delay.
Chamara Gunaratne, Kenneth J. Christensen, Bruce Nordman, Stephen Suen
IEEE Trans. Computers3
2007 Enabling an Energy-Efficient Future Internet Through Selectively Connected End Systems
Mark Allman, Kenneth J. Christensen, Bruce Nordman, Vern Paxson
HotNets3
2004 The next frontier for communications networks: power management
Kenneth J. Christensen, Chamara Gunaratne, Bruce Nordman, Alan D. George
Comput. Commun.3