EDBT 2026 Demo / reviewers in the wild / expert
Mukund Seshadri
dblp:68/6223
· DBLP profile ↗
5ranked-venue papers
1as first author
0since 2021 · last 2010
0000-0001-8729-9532ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2Databases, data management, data science and information retrieval · 2 · 1 first-authorArtificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 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 |
Cellular and mobile networks · 38% Wireless networking · 38% Transport protocols and congestion control · 12% | |
| Databases, data mining, and information retrieval
1 paper |
Data mining · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational social science and digital humanities · 100% | |
| Theoretical computer science
1 paper |
Graph algorithms and graph theory · 100% |
Topics — the 6 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational social science and digital humanities
social network analysis |
0.1 | 1 | 2008 | Mobile call graphs: beyond power-law and lognormal distributions · KDD 2008 |
Data mining › statistical analysis
distribution analysis |
0.1 | 1 | 2008 | Mobile call graphs: beyond power-law and lognormal distributions · KDD 2008 |
Data mining
statistical analysis |
0.1 | 1 | 2008 | Mobile call graphs: beyond power-law and lognormal distributions · KDD 2008 |
Wireless networking
opportunistic scheduling |
0.1 | 1 | 2008 | Experiences in a 3G network: interplay between the wireless channel and applications · MobiCom 2008 |
Physical-layer communications › channel modeling › channel characterization
wireless channel characterization |
0.0 | 1 | 2008 | Experiences in a 3G network: interplay between the wireless channel and applications · MobiCom 2008 |
Graph algorithms and graph theory › network analysis › complex networks › degree distribution
power-law distribution |
0.0 | 1 | 2008 | Mobile call graphs: beyond power-law and lognormal distributions · KDD 2008 |
Methods — techniques the papers use, named apart from their topics
statistical modeling · 0.2experimental characterization · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large Graphs
B. Aditya Prakash, Ashwin Sridharan, Mukund Seshadri, Sridhar Machiraju, Christos Faloutsos |
PAKDD (2) | 3 |
| 2008 | Mobile call graphs: beyond power-law and lognormal distributionsabstractWe analyze a massive social network, gathered from the records of a large mobile phone operator, with more than a million users and tens of millions of calls. We examine the distributions of the number of phone calls per customer; the total talk minutes per customer; and the distinct number of calling partners per customer. We find that these distributions are skewed, and that they significantly deviate from what would be expected by power-law and lognormal distributions. Mukund Seshadri, Sridhar Machiraju, Ashwin Sridharan, Jean-Chrysostome Bolot, Christos Faloutsos, Jure Leskovec |
KDD | 1 |
| 2008 | Experiences in a 3G network: interplay between the wireless channel and applicationsabstractWe present an experimental characterization of the physical and MAC layers in CDMA 1xEV-DO and their impact on transport layer performance. The 1xEV-DO network is currently the fastest mobile broadband cellular network, offering data rates of up to 3.1 Mbps for both stationary and mobile users. These rates are achieved by using novel capacity enhancement techniques at the lower layers. Specifically, 1xEV-DO incorporates rapid channel rate adaptation in response to signal conditions, and opportunistic scheduling to exploit channel fluctuations. Although shown to perform well in isolation, there is no comprehensive literature that examines the impact of these features on transport layer and application performance in real networks. Ashwin Sridharan, Sridhar Machiraju, Mukund Seshadri, Hui Zang |
MobiCom | 4 |
| 2005 | On Cooperative Content Distribution and the Price of BarterabstractWe study how a server may disseminate a large volume of data to a set of clients in the shortest possible time. Cooperative scenarios where clients are willing to upload data to each other and, under a simple bandwidth model, derive an optimal solution involving communication on a hypercube-like overlay network were first considered. The authors also studied different randomized algorithms, and show that their performance is surprisingly good. Then non-cooperative scenarios based on the principle of barter, in which one client does not upload to another unless it receives data in return were considered. A strict barter requirement increases the optimal completion time considerably compared to the cooperative case. Relaxations of the barter model in which an efficient solution is theoretically feasible was also considered, and show that obtaining a high-performance practical solution may require careful choices of overlay networks and data-transfer algorithms Prasanna Ganesan, Mukund Seshadri |
ICDCS | 2 |
| 2002 | Broadcast federation: an application-layer broadcast internetworkabstractResearchers and commercial developers have proposed several protocols to enable efficient multi-point communication both at the IP layer and at the application or overlay layer. However, no single protocol has made enough headway in terms of deployment for it to span the entire Internet. In fact, we believe that none of the existing multicast or broadcast protocols will become the sole dominant Internet broadcasting technology any time in the near future. Instead, we expect islands of non-interoperable broadcast connectivity. To address this, we propose an architecture that enables the composition of different broadcast protocol, to provide an end-to-end broadcast service. We call this architecture the Broadcast Federation. In this paper, we describe the architecture along with a prototype implementation and preliminary results from the prototype. Yatin Chawathe, Mukund Seshadri |
NOSSDAV | 2 |