| Document Date: 2015-04-20 11:52:16
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Company General Electric / Hewlett Packard / Amazon / Quanta / Oracle / Ericsson / Twitter / Google / Cisco / NetApp / VMware / Yahoo! / Intel / Microsoft / / Event Reorganization / / Facility We store / Ion Stoica University of California / / IndustryTerm distributed stream processing systems / service operator / distributed stream processing / bulk incremental processing / parallel recovery algorithm / query processing / external systems / online processing / average processing time / in-memory cluster computing / batch processing / Classical streaming systems / real time / cluster computing engine / Large-scale incremental processing / low-latency stream processing / availability algorithms / state maintenance protocols / stream processing system / costly bookkeeping protocols / level tools / recordat-a-time processing model / streaming systems / data processing / real-world big data applications / batch systems / upstream backup solutions / cluster computing framework / reduceByWindow operator / dataflow processing / intensive distributed computing / record-at-a-time systems / log processing / distributed data-parallel computing / availability solution / social network / recent research systems / parallel recovery protocol / view count program computing / stream processing / bulk processing / interactive processing features / Web Services / / NaturalFeature D-Stream Operators D-Streams / Interactive Processing Because D-Streams / D-Streams / Discretized Streams / Dryad waterfall / Hadoop waterfall / / Organization National Science Foundation / Ion Stoica University / University of California / Berkeley / Stanford / / Person S. Madden / V / Scott Shenker / / / Product Franklin / Cooper / / ProgrammingLanguage SQL / Scala / / ProvinceOrState Aurora / California / / Technology functional programming / RAM / t-1 / API / state maintenance protocols / costly bookkeeping protocols / parallel recovery protocol / High-availability algorithms / http / one parallel recovery algorithm / / URL http /
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Discretized Streams: An Efficient and Fault-Tolerant Model for Stream Processing on Large Clusters Matei Zaharia, Tathagata Das, Haoyuan Li, Scott Shenker, Ion Stoica University of California, Berkeley Abstract