San Francisco / Stockholm / Sacramento / Cascais / /
Company
Network Appliance / BitTorrent / Ericsson / NIPS Analyzing Networks / IBM / Amazon / Oracle / Nokia / Intelligent Transport Systems / Google / NEC Labs / VMWare / Intel / Microsoft / /
Country
Canada / Portugal / Jordan / United States / /
Currency
USD / /
Event
Business Partnership / /
Facility
Mobile Millennium pipeline / Texas Transportation Institute / University of California / K. Hall / Alexandre M. Bayen University of California / /
IndustryTerm
transportation / road network / recent cluster computing frameworks / transportation community / in-memory cluster computing / storage infrastructure / per-link travel distribution parameters / iterative machine learning algorithms / learning-based applications / cloud applications / large-scale graph processing / iterative algorithms / weighted travel time samples / travel time distribution parameters / software stack / parallel applications / real-time conditions / data processing / in-memory computing frameworks / traffic estimation algorithm / cloud computing frameworks / storage solution / travel time inference / travel time distributions / travel time / non-cloud infrastructure / freeway travel time estimation / transportation network / distributed data-parallel computing / machine learning applications / computing / closed-form solution / em algorithm / iterative applications / random travel time samples / parallel machine learning algorithms / machine learning algorithms / per-link travel time samples / arterial network / road networks / traffic information algorithm / final solution / traffic algorithms / low-latency networks / large server / arterial road network / observed travel time / Cloud storage solutions / simpler machine learning applications / web interface / off-cloud storage systems / real-world machine learning applications / real road network / cell phone applications / real-time traffic inference / parallel data processing / iterative data processing / datacenter networks / optimization algorithms / travel time sei / computational infrastructure / cluster computing framework / storage systems / travel time distribution / traffic information system using cloud computing / typical traffic engineering systems / travel times / estimation algorithm / parallel algorithm / cluster computing frameworks / learning algorithm / Web Services / /
NaturalFeature
San Francisco Bay / /
Organization
UC Berkeley / Royal Statistical Society / National Energy Research Scientific Computing Center / Texas Transportation Institute / Royal Society of London / University of California / Berkeley / Association of Computation Linguistics / Alexandre M. Bayen University / California Department of Transportation / US Department of Transportation / North American Chapter / National Sciences and Engineering Research Council of Canada / EECS Department / /
Person
Pieter Abbeel / Michael J. Franklin / Justin Ma / Teodor Moldovan / J. Ma / V / /
Position
representative / programmer / traffic model for velocity data assimilation / Cloud Timothy Hunter / /
Product
PostgreSQL / Gamma / /
ProgrammingLanguage
Java / Scala / Python / /
ProvinceOrState
California / Manitoba / /
PublishedMedium
Proceedings of the Royal Society / Journal of the Royal Statistical Society / /
Technology
Mobile Millennium EM traffic estimation algorithm / iterative machine learning algorithms / parallel algorithm / mobile phones / EM algorithm / traffic estimation algorithm / traffic algorithms / importance sampling EM algorithm / main algorithms / Java / optimization algorithms / Large Parameter Vectors Parallel machine learning algorithms / machine learning algorithms / GPS / Mobile Millennium traffic information algorithm / parallel machine learning algorithms / machine learning / Terms Algorithms / learning algorithm / cellular telephone / http / caching / /
Scaling the Mobile Millennium System in the Cloud Timothy Hunter, Teodor Moldovan, Matei Zaharia, Samy Merzgui, Justin Ma, Michael J. Franklin, Pieter Abbeel, Alexandre M. Bayen University of California, Berkeley ABSTRA