Show/Hide Menu
Hide/Show Apps
anonymousUser
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Videos
Videos
Thesis submission
Thesis submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Contact us
Contact us
Window Based Fair Aggregator for the Scalable Support of QoS Guarantees in the Backbone: An Experimental Performance Study
Date
2016-02-18
Author
Sanli, Mustafa
Pehlivanli, Aydin
Schmidt, Şenan Ece
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
3
views
0
downloads
Cite This
Video and voice traffic currently have the biggest share in the Internet. These applications require end-to-end Quality of Service (QoS) guarantees for each flow. The packet schedulers in the routers play an important role in providing end-to-end QoS support in the Internet. It is important that the implementation of packet schedulers scale with the steady increase in the data rates and the number of flows. In our previous work we proposed Window Based Fair Aggregator (WBFA) to decrease the number of flows. WBFA aggregates the flows preserving their end-to-end delay bounds with a relatively small aggregation delay. In this paper we present a detailed simulation study to demonstrate the features of WBFA and its effect on the performance of fair packet schedulers.
Subject Keywords
Flow aggregation
,
Fair aggregator
,
Quality of service
URI
https://hdl.handle.net/11511/55910
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
M. Sanli, A. Pehlivanli, and Ş. E. Schmidt, “Window Based Fair Aggregator for the Scalable Support of QoS Guarantees in the Backbone: An Experimental Performance Study,” presented at the International Conference on Computing, Networking and Communications (ICNC), Kauai, HI, 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55910.