
Network Modeling for the Internet
Testbeds - Lab Experiments
| Leader | Don Smith (University of North Carolina, Chapel Hill), smithfd@cs.unc.edu |
| Meeting | Tuesday 3:00 - 4:00 pm, room 203 |
| Members | Jay Aikat (University
of North Carolina, Chapel Hill), aikat@cs.unc.edu
Felix Hernandez Campos (University of North Carolina, Chapel Hill), fhernand@cs.unc.edu Steve Marron (SAMSI/University of North Carolina, Chapel Hill), marron@email.unc.edu George Michailidis (University of Michigan), gmichail@umich.edu Cheolwoo Park (SAMSI), cwpark@email.unc.edu David Rolls (SAMSI), rollsd@uncw.edu Haipeng Shen (University of North Carolina, Chapel Hill), haipeng@email.unc.edu |
| Outline Objectives | Networking research
has long relied on simulation as the primary vehicle for demonstrating
the effectiveness of proposed algorithms and mechanisms used in routers
or TCP/IP protocols. Typically one constructs a network testbed in a laboratory
and conducts experiments with actual network hardware and software (or
one simulates network hardware and software in software such as the NS
network simulator). In either case experimentation proceeds by simulating
the use of the (real or simulated) network by a given population of users
running applications such as FTP or web browsers. Traffic generators are
used to inject application-level data objects into the network according
to a model of how the applications or users behave. A critical aspect of
this empirical methodology is ensuring that the resulting synthetic traffic,
appearing as packets flowing through the network, preserves the essential
characteristics of packet flows in real networks. An especially important
property to study is the "burstiness" of packet-level traffic because it
has been shown to have strong influences on many of the algorithms and
mechanisms (e.g., active queue management) that networking researchers
study.
This working group could consider two important questions: (1) How should we measure and characterize both real and synthetic packet-level traffic so we can verify that synthetic traffic preserves all the essential properties of real traffic? (2) Can we design controlled experiments using a testbed network to confirm various hypotheses and findings from other empirical studies about the physical factors that lead to "burstiness" in traffic? |
| Webpage | Source-level
Trace Replay
(If you get a forbidden error, you need to contact Felix Hernandez-Campos, fhernand@cs.unc.edu, to enter this webpage.) |
10/07/2003: Felix
Hernandez Campos's presentation
12/16/2003: Queueing
Comparison of Original and Replayed Data
© 2002, Statistical and Applied Mathematical Sciences Institute. All rights reserved.