34,792 research outputs found
Characterizing and Improving the Reliability of Broadband Internet Access
In this paper, we empirically demonstrate the growing importance of
reliability by measuring its effect on user behavior. We present an approach
for broadband reliability characterization using data collected by many
emerging national initiatives to study broadband and apply it to the data
gathered by the Federal Communications Commission's Measuring Broadband America
project. Motivated by our findings, we present the design, implementation, and
evaluation of a practical approach for improving the reliability of broadband
Internet access with multihoming.Comment: 15 pages, 14 figures, 6 table
An Internet Heartbeat
Obtaining sound inferences over remote networks via active or passive
measurements is difficult. Active measurement campaigns face challenges of
load, coverage, and visibility. Passive measurements require a privileged
vantage point. Even networks under our own control too often remain poorly
understood and hard to diagnose. As a step toward the democratization of
Internet measurement, we consider the inferential power possible were the
network to include a constant and predictable stream of dedicated lightweight
measurement traffic. We posit an Internet "heartbeat," which nodes periodically
send to random destinations, and show how aggregating heartbeats facilitates
introspection into parts of the network that are today generally obtuse. We
explore the design space of an Internet heartbeat, potential use cases,
incentives, and paths to deployment
P2P IPTV Measurement: A Comparison Study
With the success of P2P file sharing, new emerging P2P applications arise on
the Internet for streaming content like voice (VoIP) or live video (IPTV).
Nowadays, there are lots of works measuring P2P file sharing or P2P telephony
systems, but there is still no comprehensive study about P2P IPTV, whereas it
should be massively used in the future. During the last FIFA world cup, we
measured network traffic generated by P2P IPTV applications like PPlive,
PPstream, TVants and Sopcast. In this paper we analyze some of our results
during the same games for the applications. We focus on traffic statistics and
churn of peers within these P2P networks. Our objectives are threefold: we
point out the traffic generated to understand the impact they will have on the
network, we try to infer the mechanisms of such applications and highlight
differences, and we give some insights about the users' behavior.Comment: 10 page
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Integrating Smart Ceiling Fans and Communicating Thermostats to Provide Energy-Efficient Comfort
The project goal was to identify and test the integration of smart ceiling fans and communicating thermostats. These highly efficient ceiling fans use as much power as an LED light bulb and have onboard temperature and occupancy sensors for automatic operationbased on space conditions. The Center for the Environment (CBE) at UC Berkeley led the research team including TRC, Association for Energy Affordability (AEA), and Big Ass Fans (BAF). The research team conducted laboratory tests, installed99 ceiling fans and 12 thermostats in four affordable multifamily housing sites in California’s Central Valley, interviewed stakeholders to develop a case study, developed an online design tool and design guide, outlined codes and standards outreach, and published several papers.The project team raised indoor cooling temperature setpoints and used ceiling fans as the first stage of cooling; this sequencing of ceiling fans and air conditioningreducesenergy consumption, especially during peak periods, while providing thermal comfort.The field demonstration resulted in 39% measured compressor energy savings during the April–October cooling seasoncompared to baseline conditions, normalized for floor area. Weather-normalized energy use varied from a 36% increase to 71% savings, withmedian savings of 15%.This variability reflects the diversity in buildings, mechanical systems, prior operation settings, space types, andoccupants’ schedules,preferences, and motivations. All commercial spaces with regular occupancy schedules (and twoof the irregularly-occupied commercial spaces and one of the homes) showed energy savings on an absolute basis before normalizing for warmer intervention temperatures,and 10 of 13 sites showed energy savings on a weather-normalized basis. The ceiling fans provided cooling for one site for months during hot weather when the coolingequipment failed.Occupants reported high satisfaction with the ceiling fans and improved thermal comfort. This technology can apply to new and retrofit residential and commercial buildings
Household technology acceptance heterogeneity in computer adoption
Technology policy analysis and implementation relies on knowledge and understanding of the "adoption gap" in information technologies among different groups of consumers. Factors that explain the residential "digital divide" also need to be identified and quantified. Through the application of survey data we provide an enhanced understanding of the key factors involved in the choice of residential computer adoption. These choices are analysed using a discrete choice model that reveals that sociodemographic factors strongly influence the adoption of the residential computer. Moreover, we apply the basic findings of the Technology Adoption Model (TAM) into the discrete choice framework heteroscedastically to deepen our understanding of why some households choose not to have computers; above and beyond what may be explained by socio-demography alone. Generally, we find that computer adoption is sensitive to household digital division measures and that the model fit improves with the heteroscedastic addition of the TAM factors. These findings are important for market planners and policymakers who wish to understand and quantify the impact of these factors on the digital divide across different household types, as defined by the TAM model
Simpleweb/University of Twente Traffic Traces Data Repository
The computer networks research community lacks of shared measurement information. As a consequence, most researchers need to expend a considerable part of their time planning and executing measurements before being able to perform their studies. The lack of shared data also makes it hard to compare and validate results. This report describes our efforts to distribute a portion of our network data through the Simpleweb/University of Twente Traffic Traces Data Repository
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