Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data.

Keith Hellman

dblp:28/6693 · DBLP profile ↗
← Back
4ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none

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

Human-computer interaction and ubiquitous computing · 2Computer networks · 1Software engineering, systems software and programming languages · 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 networks
1 paper
Network performance modeling · 67% Network measurement and analytics · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network performance modeling › network emulation
large-scale emulation
0.112007
An Open and Scalable Emulation Infrastructure for Large-Scale Real-Time Network Simulations · INFOCOM 2007
Network performance modeling
network simulation
0.112007
An Open and Scalable Emulation Infrastructure for Large-Scale Real-Time Network Simulations · INFOCOM 2007
Network measurement and analytics › measurement infrastructure
network testbed
0.112007
An Open and Scalable Emulation Infrastructure for Large-Scale Real-Time Network Simulations · INFOCOM 2007

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

virtual private network · 0.1simulation · 0.1
YearPublicationVenuePosition
2012 Exploring formal learning groups and their impact on recruitment of women in undergraduate CS
abstract
As percentages of women in computing jobs and university programs decline, recruiting and retaining women in the field of Computer Science (CS) becomes increasingly important. Undergraduate CS programs, and more specifically, introductory-level CS courses, offer an opportunity to introduce women to CS studies. Furthermore, learning experiences in introductory CS courses can be pivotal in shaping female students' perceptions of CS. Collaborative learning, in various forms, is an instructional construct that has been shown to be effective in recruiting and retaining women in undergraduate CS programs. In this paper we present an exploratory study on formal learning groups and their potential to attract and maintain female students' interest in CS studies.
Julie Krause, Irene Polycarpou, Keith Hellman
SIGCSE3
2011 Exploring the appeal of socially relevant computing: are students interested in socially relevant problems?
abstract
Prior research indicates that today's students, especially women, are attracted to careers in which they recognize the direct benefit of the field for serving societal needs. Traditional college level computer science courses rarely illustrate the potential benefits of computer science to the broader community. This paper describes a curricula development effort designed to embed humanitarian projects into undergraduate computer science courses. The impact of this program was measured through student self-report instruments. Through this investigation, it was found that students generally preferred projects that they perceived as "fun" over the projects that were social in nature. This may, in part, be due to the fact that it was difficult to reduce socially relevant problems to a level that beginning students could easily comprehend. This made it difficult to capitalize on the appeal of socially relevant problems in the early computer science courses.
Cyndi Rader, Douglas Hakkarinen, Barbara M. Moskal, Keith Hellman
SIGCSE4
2009 A real-time network simulation infrastructure based on OpenVPN
Jason Liu 0001, Yue Li 0019, Nathanael Van Vorst, Scott Mann, Keith Hellman
J. Syst. Softw.5
2007 An Open and Scalable Emulation Infrastructure for Large-Scale Real-Time Network Simulations
abstract
We present a software infrastructure that embeds physical hosts in a simulated network. Aiming to create a large-scale real-time virtual network testbed, our real-time interactive simulation approach combines the advantages of both simulation and emulation, by maintaining flexibility of the simulation models and increasing fidelity as real systems are included in the simulation. In our approach, real-world distributed applications and network services can run together with the real-time simulator; real packets are injected into the simulation and subject to the simulated network conditions computed as a result of both real and virtual traffic competing for network resources. A prototype of the proposed emulation infrastructure has been implemented based on virtual private network (VPN). One distinct advantage of our approach is that it does not require special hardware. Furthermore, it is flexible, secure, and scalable-attributes inherited directly from the VPN implementation. We conducted a set of preliminary experiments to assess the performance limitations of our emulation infrastructure. We also present an interesting case study to demonstrate the capability of our approach.
Jason Liu 0001, Scott Mann, Nathanael Van Vorst, Keith Hellman
INFOCOM4