| Document Date: 2014-12-31 23:51:31
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City Farmington / Hadoop / / Company Amazon / Oracle / Twitter / Facebook / Yahoo! / RDDs / / Country France / United States / United Kingdom / / Event Natural Disaster / / Facility Ion Stoica University of California / / IndustryTerm service operator / stream processing techniques / batch processing engine / live and offline processing / low-latency processing applications / synchronization protocol / replication algorithms / distributed stream processing / parallel recovery algorithm / external systems / database systems / continuous operators systems / online machine learning system / distributed stream processing models / batch processing / continuous operator systems / real time / record-at-a-time stream processing / streaming applications / online processing applications / continuous processing systems / latter applications / stateful operators / benchmark applications / social media / statistical learning algorithms / refined algorithms / realtime log processing / message queueing systems / streaming systems / real-world big data applications / batch systems / incremental processing / state synchronization protocols / machine learning algorithm / important applications / stream processing nodes / incremental reduceByWindow operator / continuous processing / on-disk storage systems / search site / social network / base processing / offline processing / order processing / synchronization protocols / stream processing model / stream processing / record-at-atime systems / operator processing model / / NaturalFeature Interactive Processing Because D-Streams / D-Streams / Because D-Streams / Discretized Streams / England falls / / Organization Ion Stoica University / University of California / Berkeley / US Federal Reserve / / Person Scott Shenker / Timothy Hunter / Comm / / Position manager Client Client Comm / Manager / same processing model / data structures / existing batch scheduler / Manager Input receiver replication / Author / tracker RDD lineage Task scheduler Block tracker Worker / RDD transformations Spark Task Scheduler / Owner/Author / Block tracker Worker Aspect Input receiver Task execution Block manager / Manager interval / scheduler / task scheduler / Task execution Block manager / lineage Worker Latency D-Streams Input tracker RDD lineage Task scheduler / Memory Manager / / Product Storm / Spark / WordCount / Spark Streaming / Grep / / ProgrammingLanguage SQL / Scala / / ProvinceOrState Pennsylvania / California / / Technology replication algorithms / RAM / t-1 / machine learning algorithm / sliding windows / synchronization protocols / API / GPS / machine learning / state synchronization protocols / message queueing / statistical learning algorithms / machine learning system / http / synchronization protocol / parallel recovery algorithm / / URL http /
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Discretized Streams: Fault-Tolerant Streaming Computation at Scale Matei Zaharia, Tathagata Das, Haoyuan Li, Timothy Hunter, Scott Shenker, Ion Stoica University of California, Berkeley Abstract Many “big data” appli