Version 9 (modified by 13 years ago) ( diff ) | ,
---|
Mobility Traces
- MobiLib-USC: Traces from the USC wireless LAN - 4500 users, 400 access points. 2005
- IMPACT: Investigation of Mobile-user Patterns Across University Campuses using WLAN Trace Analysis - analyzes 4 campus traces
- MIT Reality trace - 2005
- Natl. Singapore U. trace - 2007
- Cambridge Haggle traces - multiple traces from 2006 and 2009
- San Francisco taxicab traces - 2009
- Shanghai Jiao Tong U. SUVNet traces - Traffic GPS data from ~2000 taxis and N buses during 1 month in 2007 - Paper on mobility model extracted from trace
Community Trace repositories: CRAWDAD (Dartmouth) MobiLib (UFL)
Mobility Models
- A Survey of Mobility Models for Ad Hoc Network Research - Tracy Camp, Jeff Boleng, Vanessa Davies, 2002
- A Mobility Model Based on WLAN Traces and its Validation - Tuduce et al., 2005
- Building Realistic Mobility Models from Coarse-Grained Traces - Yoon et al., MobiSys 2006
- Modeling Time-Variant User Mobility in Wireless Mobile Networks - Hsu et al., 2007. Code
- META: a Mobility Model of MEtropolitan TAxis Extracted from GPS Traces - Huang et al., 2010
Trends
- Cisco Visual Network Index (VNI) Home Global Mobile Data Traffic Forecast Update, 2010–2015
- 2010 mobile traffic starting to reflect the 1:20 skewed behavior long observed in fixed networks - top 1% clients generate ~20% of all traffic
- Bottom 80% clients generated ~20% of overall 2010 mobile data traffic
- Morgan Stanley Report on 'Internet Trends' - 2010
DNS Queries
- MIT DNS client-side traces - 3 traces 2000-01, 2 from MIT, 1 from Korea
- DNS Performance and Effectiveness of Caching - Jung et al. - SIGCOMM 2001.
- Domain name popularity - Zipf-like distribution with param=0.91
- Latency - median ~100ms, 90th%ile is ~400-1200ms
- CoDoNS re-evaluated DNS perf. from PlanetLab nodes based on above trace: Latency mean/median/90th%ile = 382/39/337ms
- Gatech DNS client-side traces - 75 diff locations, 21 countries, 2002
- Diversity in DNS Performance Measures - Liston et al., SIGCOMM'02
- Latency - varies, mean is between .95-2.31s, breakdown shows only ~20% of time spent to query root/gTLD
- UCLA DNS local-resolver traces - 3 traces all during same 12 days, 2004
- A Comparative Study of the DNS Design with DHT-Based Alternatives - Pappas et al - INFOCOM'06
- Domain name popularity - combined Zipf param=0.93
- CAIDA DNS root server traces - periodic simultaneous collections across all root servers
- Understanding and preparing for DNS evolution - comparative analysis across 2007-2009. Includes distribution of queries and query rates across client bins - useful to model client behavior. Very small % of clients generate most queries. Unfortunately, these heavy hitters are mostly sending invalid queries due to mis-configs, firewalls blocking responses, etc.
Web Site and Content Popularity
- Web Caching and Zipf-like Distributions: Evidence and Implications - Breslau et al. INFOCOM'99
- Zipf-like distribution and no correlation between request frequency and response size or rate of change
- On the universality of rank distributions of website popularity - modified Zipf
- Client Behavior and Feed Characteristics of RSS, a Publish-Subscribe System for Web Micronews - Liu et al. IMC'05
- Popularity of RSS feeds by hits is Zipf with param=1.37, Popularity by subscribers is Zipf with param=0.5
- Con: popularity derived from passive logs from univ. dept - small user base
Note:
See TracWiki
for help on using the wiki.