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Jonathan M. Reed

dblp:152/6020 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Wireless networking
cross-layer optimization
0.212016
The FINS Framework: Design and Implementation of the Flexible Internetwork Stack (FINS) Framework · IEEE Trans. Mob. Comput. 2016
Optical networks
dynamic reconfiguration
0.212016
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
0.212016
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
YearPublicationVenuePosition
2016 The FINS Framework: Design and Implementation of the Flexible Internetwork Stack (FINS) Framework
abstract
This 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