Demo Data from VLDB 2026 / reviewers in the wild / expert
Kranthi Sontineni
dblp:155/5765
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2
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
2 papers |
Cellular and mobile networks · 46% Network performance modeling · 40% Content delivery and video streaming · 14% | |
| Computer graphics and multimedia
1 paper |
Multimedia systems and quality of experience · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
User interface design and tools · 100% |
Topics — the 4 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cellular and mobile networks › LTE
VoLTE |
0.2 | 1 | 2015 | Performance Characterization and Call Reliability Diagnosis Support for Voice over LTE · MobiCom 2015 |
Multimedia systems and quality of experience › quality of experience
qoe measurement |
0.2 | 1 | 2014 | QoE Doctor: Diagnosing Mobile App QoE with Automated UI Control and Cross-layer Analysis · Internet Measurement Conference 2014 |
Network performance modeling
cross-layer analysis |
0.2 | 1 | 2014 | QoE Doctor: Diagnosing Mobile App QoE with Automated UI Control and Cross-layer Analysis · Internet Measurement Conference 2014 |
Content delivery and video streaming › quality of experience
speech quality assessment |
0.1 | 1 | 2015 | Performance Characterization and Call Reliability Diagnosis Support for Voice over LTE · MobiCom 2015 |
Methods — techniques the papers use, named apart from their topics
cross-layer analysis · 0.8automated UI control · 0.6on-device problem detection · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Performance Characterization and Call Reliability Diagnosis Support for Voice over LTEabstractTo understand VoLTE performance in a commercial deployment, in this paper we conduct the first comprehensive performance characterization of commercially deployed VoLTE, and compare with legacy call and over-the-top (OTT) VoIP call. We confirm that VoLTE excels in most metrics such as audio quality, but its call reliability still lags behind legacy call for all the three major U.S. operators. We propose an on-device VoLTE problem detection tool, which can capture new types of problems concerning audio quality with high accuracy and minimum overhead, and perform stress testing on VoLTE call's reliability. We discover 3 instances of problems in the early deployment of VoLTE lying in the protocol design and implementation. Although the identified problems are all concerned with the immature LTE coverage in the current deployment, we find that they can cause serious impairment on user experience and are urgent to be solved in the developing stage. For example, one such instance can lead to up to 50-second-long muting problem during a VoLTE call! We perform in-depth cross-layer analysis and find that the causes are rooted in the lack of coordination among protocols designed for different purposes, and invalid assumptions made by protocols used in existing infrastructure when integrated with VoLTE. We summarize learnt lessons and suggest solutions. Yunhan Jia, Qi Alfred Chen, Z. Morley Mao, Jie Hui, Kranthi Sontineni, Alex Yoon, Samson Kwong, Kevin Lau |
MobiCom | 5 |
| 2014 | QoE Doctor: Diagnosing Mobile App QoE with Automated UI Control and Cross-layer AnalysisabstractSmartphones have become increasingly prevalent and important in our daily lives. To meet users' expectations about the Quality of Experience (QoE) of mobile applications (apps), it is essential to obtain a comprehensive understanding of app QoE and identify the critical factors that affect it. However, effectively and systematically studying the QoE of popular mobile apps such as Facebook and YouTube still remains a challenging task, largely due to a lack of a controlled and reproducible measurement methodology, and limited insight into the complex multi-layer dynamics of the system and network stacks. Qi Alfred Chen, Haokun Luo, Sanae Rosen, Z. Morley Mao, Karthik Iyer, Jie Hui, Kranthi Sontineni, Kevin Lau |
Internet Measurement Conference | 7 |