NDLI: The conservation of information, towards an axiomatized modular modeling approach to congestion control

Content Provider	ACM Digital Library
Author	Yavuz, Emre Altug Briat, Corentin Karlsson, Gunnar Johansson, Karl Henrik Jönsson, Ulf T. Sandberg, Henrik Hjalmarsson, Håkan
Copyright Year	2015
Abstract	We derive a modular fluid-flow network congestion control model based on a law of fundamental nature in networks: the conservation of information. Network elements such as queues, users, and transmission channels and network performance indicators like sending/acknowledgment rates and delays are mathematically modeled by applying this law locally. Our contributions are twofold. First, we introduce a modular metamodel that is sufficiently generic to represent any network topology. The proposed model is composed of building blocks that implement mechanisms ignored by the existing ones, which can be recovered from exact reduction or approximation of this new model. Second, we provide a novel classification of previously proposed models in the literature and show that they are often not capable of capturing the transient behavior of the network precisely. Numerical results obtained from packet-level simulations demonstrate the accuracy of the proposed model.
Starting Page	851
Ending Page	865
Page Count	15
File Format	PDF
ISSN	10636692
DOI	10.1109/TNET.2014.2308272
Volume Number	23
Issue Number	3
Journal	IEEE/ACM Transactions on Networking (TON)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-06-01
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Congestion control modeling Conservation law Fluid-flow model Queuing model Self-clocking
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Networks and Communications Software Computer Science Applications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

The Conservation of Information, Towards an Axiomatized Modular Modeling Approach to Congestion Control

A conservation-law-based modular fluid-flow model for network congestion modeling

The conservation of information, towards an axiomatized modular modeling approach to congestion control

Accumulation-based congestion control

Modeling Communication Networks With Hybrid Systems

Queue dynamics with window flow control

Accumulation-based congestion control

Joint congestion control and routing optimization: an efficient second-order distributed approach

Normalized queueing delay: congestion control jointly utilizing delay and marking

The conservation of information, towards an axiomatized modular modeling approach to congestion control

Similar Documents

The Conservation of Information, Towards an Axiomatized Modular Modeling Approach to Congestion Control

A conservation-law-based modular fluid-flow model for network congestion modeling

The conservation of information, towards an axiomatized modular modeling approach to congestion control

Accumulation-based congestion control

Modeling Communication Networks With Hybrid Systems

Queue dynamics with window flow control

Accumulation-based congestion control

Joint congestion control and routing optimization: an efficient second-order distributed approach

Normalized queueing delay: congestion control jointly utilizing delay and marking

The conservation of information, towards an axiomatized modular modeling approach to congestion control