Your SlideShare is downloading. ×
  • Like
ppt
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×

Now you can save presentations on your phone or tablet

Available for both IPhone and Android

Text the download link to your phone

Standard text messaging rates apply
Published

 

  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
    Be the first to like this
No Downloads

Views

Total Views
506
On SlideShare
0
From Embeds
0
Number of Embeds
0

Actions

Shares
Downloads
1
Comments
0
Likes
0

Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    No notes for slide

Transcript

  • 1. “ Traffic Modeling and Analysis of Bundled Services” CS 702, Fall 2007 – Progress Report Dec. 3, 2007 Chen-bin Kuo (20077202) and Young J. Won (20063292) DPNM, POSTECH Email: {kuo, yjwon}@postech.ac.kr
  • 2. Introduction
    • Project Title
      • Traffic Modeling and Analysis of Bundled Services
    • Goal
      • Traffic monitoring and analysis of bundled service applications
      • Traffic modeling formulation for combined traffic
      • Traffic impact analysis based on combinational traffic modeling
    • Possible Project Outcomes
      • Research paper on traffic analysis of IPTV VoD
      • Research (short or survey) paper on bundled traffic modeling formulation
    • Project Period
      • 2007.09. ~ 2007.12. (4 months)
    • Project Members
      • Chen-Bin Kuo (20077202). National Taiwan Univ. (while visiting POSTECH)
      • Young J. Won (20063292). DPNM, POSTECH
  • 3. Problem & Goal
    • Problem?
    • Lack of effective combinational models for analyzing traffic impact and demand in bundled services environment
      • Traffic demand analysis in bundled services
      • Traffic impact analysis with existing traffic
    • Goal?
      • Traffic monitoring and analysis of bundled service applications
      • Traffic modeling formulation for combined traffic
      • Traffic impact analysis based on combined traffic modeling
  • 4. Approaches
    • Research on previous traffic modeling works
      • VoIP traffic models
      • IPTV traffic models & analysis
      • Traffic models for bundled services (if exists)
    • IPTV measurements
      • Measurement & Comparison analysis
      • Develop an appropriate models for each
    • Traffic model formulation
      • Survey of existing models and combinational models
  • 5. Schedule 10 Final Report (Survey or Modeling Paper) 10 Traffic Impact & Demand Analysis 30 Model Formulation 10 Midterm Report (Measurement Paper) 20 Measurement Analysis on Selected Bundled Service Applications 10 Bundled Services Traffic Selection & Survey on Previous Models (%) 12 11 10 9 Details
  • 6. Current Status
    • What has been done so far?
      • 7 sets of IPTV traces over broadband networks
        • MegaTV, HanaTV over xDSL, Cable, FTTB, and FTTH
      • IPTV VoD bandwidth demand formulas
        • Chen-Bin is adding user behavior parameters (channel selection, viewing behaviors)
      • IPTV trace from the oversea
    • We are currently working on the followings:
      • Summary of triple play services traffic models (e.g. bandwidth demand)
      • Studying the methods to project the simulated values in the given models (e.g. graphing of distribution values)
      • Formulating combinational model for triple play services
  • 7. Possible TPS Model Combinations Others IPTV HTTP Data VoIP+Data VoIP 6 3 4 3+4 2 2 1 2 1 5 6 Available Choices TPS Components Market projection based 1. Constant 6. VoIP Demand Model (Erlang-B,C) 5. VoD Demand Model 4. Multicast Live Demand Model 3. Methodologies Number Peak-to-average analysis 2.
  • 8. Channel Selection Model
    • Zipf’s law in channel selection
      • It describes the user behavior of selecting the popular channels in ranking where twice as many of viewers participate in the i th popular channel than i-1 th channel
    • The channel priority can be expressed using aggregated groups of the video file sizes, F i
    • The probability of choosing channel i with the file size F i is
  • 9. Proposed Model
  • 10. Outcomes
    • Papers
      • Research paper on traffic analysis of IPTV VoD
        • Passive Active Measurement Conference
        • “End-User IPTV Traffic Measurement of Residential Broadband Access Networks”
      • Research (short or survey) paper on bundled traffic modeling formulation
    • Programs
      • Traffic trace analysis C programs
      • Distribution number generators C programs/scripts
      • Matlab *.m scripts for graphs
  • 11. Questions ?