Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

Differential QoS and pricing in networks: Where flow control meets game theory

Differential QoS and pricing in networks: Where flow control meets game theory

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Add to cart
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)
Add to cart

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IEE Proceedings - Software — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

IEE
Published

The paper looks at ways of providing Quality of Service to users based on a simple pricing scheme. It is primarily aimed at elastic traffic, and it is users rather than the network who define the flow control schemes. A framework for assessing schemes and algorithms via a distributed game is presented.

Inspec keywords: flow control; quality of service; telecommunication traffic; tariffs; differential games; telecommunication networks; costing

Other keywords: pricing scheme; differential service quality; distributed game theory; elastic traffic; flow control schemes; telecommunication networks

Subjects: Telecommunication applications; Game theory; Communication system theory

References

    1. 1)
      • F. KELLY , A. MAULLOO , D. TAN . ‘Rate control in communication networks: shadow prices, proportional fairness and stability’. J. Oper. Res. Soc. , 237 - 252
    2. 2)
      • S. SHENKER . ‘Fundamental design issues for the future Internet.’. IEEE J. Sel. Areas Commun. , 1176 - 1188
    3. 3)
      • M. MATHIS , J. SEMKE , J. MAHDAVI , T. OTT . ‘The macroscopic behavior of the TCP congestion avoidance algorithm.’. Comput. Commun. Rev. , 3
    4. 4)
      • R. GIBBENS , F. KELLY . (1998) ‘Resource pricing and the evolution of congestion control.’ http://www.statslab.cam.ac.uk/∼frank/PAPERS/evol.html.
    5. 5)
      • J. MACKIE-MASON , H. VARIAN , B. KAHIN , J. KELLER . (1994) ‘Pricing the Internet.’ In, Public access to the Internet.
    6. 6)
      • A. ODLYZKO . (1997) ‘A modest proposal for preventing Internet congestion.’ http://www.research.att.com/amo/doc/modest.proposal.ps.
    7. 7)
      • R. AXELROD . (1984) , ‘The Evolution of Cooperation’.
    8. 8)
      • V. JACOBSON . ‘Congestion avoidance and control.’ In. Proc. ACM SIGCOMM ’88. An updated version is available via ftp://ftp.ee.lbl.gov/papers/congavoid.ps.Z , 314 - 329
http://iet.metastore.ingenta.com/content/journals/10.1049/ip-sen_19990154
Loading

Related content

content/journals/10.1049/ip-sen_19990154
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
Print this page
This is a required field
Please enter a valid email address