Thomas F. Wenisch∗ University of Michigan∗ Facebook / Facebook Web pipeline / University of Michigan / /
IndustryTerm
in-house analytic tools / higher average network / individual logging systems / Web accesses / software performance / particular server / large-scale data processing pipeline / slower server / client software / heterogeneous distributed systems / Web browsers / server processing / Internet services / Web browser / wireless connections / Web request / server-side processing / software components / large-scale data warehousing infrastructure / Web Server Thread / similar Internet service pipelines / shorter server / a decision through all logging systems / client Web browser finishes / performance analysis tools / client processing segments / segment processing / individual software component logs / endto-end request processing / possible Web servers / Web servers / prior systems / end-to¨ end performance tracing tool / large-scale Internet services / graphical query tools / differential services / heterogeneous software components / client Web browser / server processing time / Internet Services Michael Chow / deployed tool / Internet service infrastructure / Client processing / client device / production software / external network / concurrent systems / Web pipeline / in-house analysis tools / Web server / periodic processing jobs / request processing / cross-product / Internet service / software architecture / /
Organization
University of Michigan / USENIX Association / DNS / /
Person
Web / Michael Chow / Jason Flinn / David Meisner / Daniel Peek / /
Position
engineer / Server Thread Scheduler Mystery Machine Generate Predictive Model Data Aggregation Slack Requests / / /
ProgrammingLanguage
php / JavaScript / /
ProvinceOrState
Michigan / /
Technology
Virtual Machine / cable modem / broadband / php / relational database / load balancing system / SSL / Operating Systems / load balancing / 4.2 Algorithm / HTTP / ISP / caching / DOM / Web server / /
The Mystery Machine: End-to-end Performance Analysis of Large-scale Internet Services Michael Chow, University of Michigan; David Meisner, Facebook, Inc.; Jason Flinn, University of Michigan; Daniel Peek, Facebook, Inc.;