Demo Data from EDBT 2026 / reviewers in the wild / expert
Jonathan M. Reed
dblp:152/6020
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none
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 |
Internet architecture and protocols · 30% Wireless networking · 30% Optical networks · 30% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wireless networking
cross-layer optimization |
0.2 | 1 | 2016 | The FINS Framework: Design and Implementation of the Flexible Internetwork Stack (FINS) Framework · IEEE Trans. Mob. Comput. 2016 |
Optical networks
dynamic reconfiguration |
0.2 | 1 | 2016 | The FINS Framework: Design and Implementation of the Flexible Internetwork Stack (FINS) Framework · IEEE Trans. Mob. Comput. 2016 |
Internet architecture and protocols › network architecture design › layered architecture
protocol stack |
0.2 | 1 | 2016 | The FINS Framework: Design and Implementation of the Flexible Internetwork Stack (FINS) Framework · IEEE Trans. Mob. Comput. 2016 |
Methods — techniques the papers use, named apart from their topics
modular architecture · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | The FINS Framework: Design and Implementation of the Flexible Internetwork Stack (FINS) FrameworkabstractThis paper describes the Flexible Internetwork Stack (FINS) Framework, an open-source tool to enable implementation-based experimental research in computer networking. The FINS Framework uses a module-based architecture that allows cross-layer behavior and runtime reconfiguration of the protocol stack. The FINS Framework is general enough to enable experimental setups under various network architectures (e.g., MANET, infrastructure, mesh) and to accelerate prototyping solutions for evolving areas (e.g., cognitive networks, cross-layer design, context-aware applications). Version 1.0 of the framework makes use of existing physical and data link layer functionality, while enabling modifications to the stack at the network layer and above, or even the implementation of a clean-slate, non-layered protocol architecture. Protocols, stubs for communicating with intact layers, and management and supervisory functions are implemented as FINS Framework modules, interconnected by a central switch. This paper describes the FINS Framework architecture, presents an initial assessment along with experiments enabled by the tool, and documents an intuitive mechanism for transparently intercepting socket calls that maintains efficiency and flexibility. Performance testing shows that the FINS Framework is capable of supporting experiments requiring IEEE 802.11g hardware speeds and operating in varying networking architecture and experimental scenarios on both Ubuntu laptops and Android devices. Jonathan M. Reed, Abdallah S. Abdallah, Michael S. Thompson, Allen B. MacKenzie, Luiz A. DaSilva |
IEEE Trans. Mob. Comput. | 1 |