Title
On Multiplexing Models for Independent Traffic Flows in Single- and Multi-Node Networks
Abstract
In packet switched networks, statistical multiplexing of independent variable bit rate flows achieves significant resource savings, i.e., N flows require considerably less than N times the resources needed for one flow. In this work, we explore statistical multiplexing using methods from the current stochastic network calculus, where we compare the accuracy of different analytical approaches. While these approaches are known to provide identical results for a single flow, we find significant differences if several independent flows are multiplexed. Recent results on the concatenation of nodes along a network path allow us to investigate both single- as well as multi-node networks with cross traffic. The analysis enables us to distinguish different independence assumptions between traffic flows at a single node as well as between cross traffic flows at consecutive nodes of a network path. We contribute insights into the scaling of end-to-end delay bounds in the number of nodes n of a network path under statistical independence. Our work is complemented by numerical applications, e.g., on access multiplexer dimensioning and traffic trunk management.
Year
DOI
Venue
2013
10.1109/TNSM.2012.091012.120234
IEEE Transactions on Network and Service Management
Keywords
Field
DocType
packet switching,statistical analysis,stochastic processes,telecommunication traffic,access multiplexer dimensioning,end-to-end delay bounds,independence assumptions,independent traffic flows,independent variable bit rate,multinode networks,multiplexing models,network path,packet switched networks,resource savings,single-node networks,statistical independence,statistical multiplexing,stochastic network calculus,traffic trunk management,EBB,Statistical network calculus,effective bandwidth,statistical multiplexing
Traffic generation model,Max-min fairness,Computer science,Computer network,Network calculus,Packet switching,Statistical time division multiplexing,Multiplexing,Network traffic control,Distributed computing,Traffic grooming
Journal
Volume
Issue
ISSN
10
1
1932-4537
Citations 
PageRank 
References 
1
0.36
15
Authors
2
Name
Order
Citations
PageRank
Rizk, A.1412.16
Markus Fidler226815.13