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. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Anand Balachandran

dblp:35/177 · DBLP profile ↗
← Back
4ranked-venue papers
2as first author
0since 2021 · last 2005
—ORCID · none

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

Computer networks · 2 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-authorSoftware engineering, systems software and programming languages · 1 · 1 first-authorHuman-computer interaction and ubiquitous 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 networks
1 paper
Wireless networking · 67% Network measurement and analytics · 33%
Human-computer interaction and pervasive computing
1 paper
Learning and educational technologies · 77% Collaborative and social computing · 23%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network measurement and analytics
network performance measurement
0.012002
Characterizing user behavior and network performance in a public wireless LAN · SIGMETRICS 2002
Wireless networking › mobile social networks
user behavior characterization
0.012002
Characterizing user behavior and network performance in a public wireless LAN · SIGMETRICS 2002
Wireless networking
WLAN
0.012002
Characterizing user behavior and network performance in a public wireless LAN · SIGMETRICS 2002
Learning and educational technologies
distance learning
0.012000
Distance learning through distributed collaborative video viewing · CSCW 2000

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

workload analysis · 0.0simulation · 0.0system design · 0.0lab study · 0.0
YearPublicationVenuePosition
2005 Wireless Hotspots: Current Challenges and Future Directions
Anand Balachandran, Geoffrey M. Voelker, Paramvir Bahl
Mob. Networks Appl.1
2002 Characterizing user behavior and network performance in a public wireless LAN
abstract
This paper presents and analyzes user behavior and network performance in a public-area wireless network using a workload captured at a well-attended ACM conference. The goals of our study are: (1) to extend our understanding of wireless user behavior and wireless network performance; (2) to characterize wireless users in terms of a parameterized model for use with analytic and simulation studies involving wireless LAN traffic; and (3) to apply our workload analysis results to issues in wireless network deployment, such as capacity planning, and potential network optimizations, such as algorithms for load balancing across multiple access points (APs) in a wireless network.
Anand Balachandran, Geoffrey M. Voelker, Paramvir Bahl, P. Venkat Rangan
SIGMETRICS1
2001 Secure wireless Internet access in public places
abstract
We have built a network, called the CHOICE network, which globally authenticates users and then securely connects them to the Internet via a high-speed local area wireless network. Our network provides easy-to-use, individual-centric, service-oriented wireless Internet access in places other than the traditional corporate offices and homes. Our architecture is hardware and protocol agnostic and is built on an easily deployable software module called the protocol for authorization and negotiation of services or PANS. PANS provides authorization, access, privacy, security, policy enforcement, quality of service (QoS) and accounting. In this paper, we describe PANS in detail. We discuss our system design and operation, implementation and performance. We evaluate PANS and show that it is scalable and secure. Our network has been deployed and is operational at a local mall in Bellevue, Washington.
Paramvir Bahl, S. Venkatachary, Anand Balachandran
ICC3
2000 Distance learning through distributed collaborative video viewing
abstract
Previous research on Tutored Video Instruction (TVI) shows that learning is enhanced when small groups of students watch and discuss lecture videos together. Using specialized, high-end videoconferencing systems, these improved results have been shown to apply even when the students are in different locations (Distributed TVI, or DTVI). In this paper, we explore two issues in making DTVI-like scenarios widely supported at low cost. First, we explore design of a system that allows distributed individuals to collectively watch video using shared VCR controls such as play, pause, seek, stop. We show how such a system can be built on top of existing commercial technologies. Second, we explore the impact of four alternative discussion channels on student learning and interaction behavior. The four channels-text chat, audioconferencing, videoconferencing, and face-to-face-have differing infrastructure requirements and costs. Our lab studies show that while text chat does not work, there is no significant difference in discussion behavior and learning between audioconferencing and videoconferencing. While lab studies have their limitations and long-term field studies need to be done, the preliminary results point to a low-cost way for a DTVI-like model to be deployed widely in the very near future.
Jonathan J. Cadiz, Anand Balachandran, Elizabeth Sanocki, Anoop Gupta, Jonathan Grudin, Gavin Jancke
CSCW2