Demo Data from SIGIR 2026 / reviewers in the wild / expert
Santosh Chavan
dblp:137/3038
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2017
0000-0002-4808-3576ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 first-author
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 |
Transport protocols and congestion control · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Transport protocols and congestion control › TCP variants
compound TCP |
0.3 | 1 | 2017 | TCP With Virtual Queue Management Policies: Stability and Bifurcation Analysis · IEEE/ACM Trans. Netw. 2017 |
Transport protocols and congestion control
TCP congestion control |
0.3 | 1 | 2017 | TCP With Virtual Queue Management Policies: Stability and Bifurcation Analysis · IEEE/ACM Trans. Netw. 2017 |
Transport protocols and congestion control
active queue management |
0.1 | 1 | 2017 | TCP With Virtual Queue Management Policies: Stability and Bifurcation Analysis · IEEE/ACM Trans. Netw. 2017 |
Methods — techniques the papers use, named apart from their topics
packet-level simulation · 0.3local stability analysis · 0.3hopf bifurcation analysis · 0.3fluid model · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | TCP With Virtual Queue Management Policies: Stability and Bifurcation AnalysisabstractIn this paper, we analyze a model for transport control protocol (TCP) along with a non-adaptive virtual queue (VQ) and an adaptive virtual queue (AVQ) management policy. In the class of transport protocols, we focus on compound TCP as it is the default protocol in the Windows operating system. We start by conducting a local stability analysis for the underlying fluid models. For the VQ policy, we show that small virtual buffers play an important role in ensuring stability, whereas the AVQ policy could readily lose local stability as the link capacity, the feedback delay, or the link's damping factor gets large. With both the queue policies, the protocol parameters of compound TCP also influence stability. Furthermore, in both the models, we explicitly show that as parameters vary the loss of local stability would occur via a Hopf bifurcation. For the AVQ policy, we are also able to analytically verify if the Hopf bifurcation is super-critical, and determine the stability of the bifurcating limit cycles. Packet-level simulations, conducted over two topologies, using the network simulator (NS2) confirm the existence of stable limit cycles in the queue size. Santosh Chavan, Nizar Malangadan, Gaurav Raina |
IEEE/ACM Trans. Netw. | 1 |