Advances in modeling and engineering of long-range dependent traffic

Devetsikiotis, Mike; Fonseca, Nelson Luís Saldanha da

doi:10.1016/s1389-1286(02)00307-9

Computer Networks

2002

DOI: 10.1016/s1389-1286(02)00307-9

|View full text |Cite

Advances in modeling and engineering of long-range dependent traffic

Mike Devetsikiotis¹,

Nelson Luís Saldanha da Fonseca²

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2005

Publication Types

Select...

Other2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

et al. 2005

View full text Add to dashboard Cite

REPORT DOCUMENTATION PAGEForm Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. Researchers from the University of Massachusetts developed fluid-based methodologies for characterizing the behavior of large IP networks handling large numbers of TCP and UDP flows. These methodologies provide for rapid and efficient rates of individual and aggregate flows. These fluid models were also applied to the problems of characterizing the spread of worms and viruses and to the cascade of failures within the BGP routing infrastructure. The resulting fluid models were used to develop novel active queue management mechanisms resulting in more stable TCP performance and novel rate controllers for the purpose of providing minimum rate guarantees to TCP flow aggregates. Last, methodologies and tools were developed to integrate fluid network simulation with packet-level simulation.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Advances in modeling and engineering of long-range dependent traffic

Cited by 2 publications

References 0 publications

Requirements and design of a dynamic grid networking layer

Requirements and design of a dynamic grid networking layer

Fluid Methods for Modeling Large, Heterogeneous Networks

Contact Info

Product

Resources

About