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An Analysis of Facebook Photo Caching Qi Huang∗ , Ken Birman∗ , Robbert van Renesse∗ , Wyatt Lloyd†‡ , Sanjeev Kumar‡ , Harry C. Li‡ ∗ Cornell University, † Princeton University, ‡ Facebook Inc.
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Document Date: 2013-11-12 14:07:39


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City

Farmington / Palo Alto / Atlanta / Miami / Chicago / San Jose / /

Company

Facebook Inc. / 3M / C. / C. We / Akamai / /

Country

United States / /

Facility

Princeton University / Cornell University / /

IndustryTerm

Internet hierarchy / social-networking / web code base / end-user systems / storage server / eviction algorithms / image-management infrastructure / Internet portals / web servers aggregate results / backend server / social-networking metrics / trace using batch processing / overloaded storage server / eviction algorithm / measurement infrastructure / photo-serving infrastructure / downstream protocol / web servers / less popular / storage systems / remote web server / web traffic found / selected groups / traffic sheltering to downstream infrastructure / cache algorithms / less popular photo / content-serving infrastructure solutions / client systems / social networks / Popularity / image-serving infrastructure / front-end web servers / media binaries / /

NaturalFeature

East Coast / West Coast / /

Organization

Princeton University / Cornell University / /

Person

Sanjeev Kumar / Harry C. Li / Scribe / Wyatt Lloyd / Edge Caches / Ken Birman / Haystack Figure / /

Position

Author / Owner/Author / Major / representative / /

Product

Origin Cache / Origin / /

ProgrammingLanguage

HTML / Javascript / /

ProvinceOrState

Virginia / Louisiana / Oregon / Pennsylvania / North Carolina / California / /

PublishedMedium

the Edge / /

Region

East Coast / West Coast / /

Technology

data warehouse / LRU eviction algorithm / downstream protocol / HTML / Cache server / flash memory / load balancing / DNS / firewall / ISP / HTTP / Caching / simulation / cache algorithms / 3g / S4LRU eviction algorithms / flash / web server / eviction algorithms / /

URL

http /

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