EconPapers    
Economics at your fingertips  
 

Application Traffic Activity Graph Analysis

Yu Jin (), Esam Sharafuddin () and Zhi-Li Zhang ()
Additional contact information
Yu Jin: University of Minnesota
Esam Sharafuddin: University of Minnesota
Zhi-Li Zhang: University of Minnesota

Chapter Chapter 6 in Handbook of Optimization in Complex Networks, 2012, pp 165-195 from Springer

Abstract: Abstract Understanding and analyzing traffic characteristics are fundamental to the design, development and implementation of networks. The traditional emphasis of network traffic analysis has been on the statistical properties of traffic, leading to the important discoveries such as heavy-tails and long range dependence. As networking technologies continue to mature and evolve, and more sophisticated network applications are invented and deployed, operating, managing and securing networks have become increasingly challenging tasks, and require us to understand, analyze and model the behavioral characteristics of network traffic, such as communication patterns, interaction structures and trends of applications, users and other entities in the networks.

Date: 2012
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-1-4614-0857-4_6

Ordering information: This item can be ordered from
http://www.springer.com/9781461408574

DOI: 10.1007/978-1-4614-0857-4_6

Access Statistics for this chapter

More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:spochp:978-1-4614-0857-4_6