Online Aggregation And Continuous Query Support In Mapreduce

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Online aggregation and continuous query support in MapReduce

    https://dl.acm.org/ft_gateway.cfm?id=1807295&ftid=805278&dwn=1
    8 rows · Online aggregation and continuous query support in MapReduce. Full Text: PDF ... also supports continuous queries, which enable MapReduce programs to be written for applications such as event monitoring and stream processing. HOP retains the fault tolerance properties of Hadoop, and can run unmodified user-defined MapReduce programs ...Cited by: 203

(PDF) Online aggregation and continuous query support in ...

    https://www.researchgate.net/publication/221213893_Online_aggregation_and_continuous_query_support_in_MapReduce
    Online aggregation and continuous query support in MapReduce. ... MapReduce framework that supports online aggregation, which allows users to see "early returns" from a job as it is being computed ...

Online Aggregation and Continuous Query support in …

    http://www.neilconway.org/docs/sigmod2010_hop_demo.pdf
    Online Aggregation and Continuous Query support in MapReduce Tyson Condie, Neil Conway, Peter Alvaro, Joseph M. Hellerstein UC Berkeley John Gerth, Justin Talbot Stanford University Khaled Elmeleegy, Russell Sears Yahoo! Research ABSTRACT MapReduce is a popular framework for data-intensive distributed computing of batch jobs.

Online aggregation and continuous query support in mapreduce

    http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.232.6892
    online aggregation continuous query support batch job unmodified user-defined mapreduce program popular framework modified version completion time hadoop mapreduce framework data-intensive distributed computing early return system utilization modified mapreduce architecture hadoop online prototype fault tolerance property mapreduce task event ...

MapReduce online

    https://dl.acm.org/citation.cfm?id=1855732
    Tyson Condie , Neil Conway , Peter Alvaro , Joseph M. Hellerstein , John Gerth , Justin Talbot , Khaled Elmeleegy , Russell Sears, Online aggregation and continuous query support in MapReduce, Proceedings of the 2010 ACM SIGMOD International Conference on Management of data, June 06-10, 2010, Indianapolis, Indiana, USACited by: 1023

Online aggregation and continuous query support in mapreduce

    https://core.ac.uk/display/21907933
    This extends the MapReduce programming model beyond batch processing, and can reduce completion times and improve system utilization for batch jobs as well. We demonstrate a modified version of the Hadoop MapReduce framework that supports online aggregation, which allows users to see “early returns ” from a job as it is being computed.

[MAPREDUCE-1211] Online aggregation and continuous query ...

    http://issues.apache.org/jira/browse/MAPREDUCE-1211
    This extends the MapReduce programming model beyond batch processing, and can reduce completion times and improve system utilization for batch jobs as well. We have built a modified version of the Hadoop MapReduce framework that supports online aggregation, which allows users to see "early returns" from a job as it is being computed.

Online Aggregation for Large MapReduce Jobs

    http://www.vldb.org/pvldb/vol4/p1135-pansare.pdf
    Online Aggregation for Large MapReduce Jobs Niketan Pansare1, Vinayak Borkar2, Chris Jermaine1, Tyson Condie3 1Rice University, 2UC Irvine, 3Yahoo! Research [email protected], [email protected], [email protected], tcondie@yahoo­inc.com ABSTRACT In online aggregation, a database system processes a user’s aggre-gation query in an online fashion.

MapReduce Online - static.usenix.org

    https://static.usenix.org/event/nsdi10/tech/full_papers/condie.pdf
    of the Hadoop MapReduce framework that supports on-line aggregation, which allows users to see “early returns” from a job as it is being computed. Our Hadoop Online Prototype (HOP) also supports continuous queries, which enable MapReduce programs to be written for applica-tions such as event monitoring and stream processing.

MapReduce Online - GitHub Pages

    https://dirtysalt.github.io/html/mapreduce-online.html
    This ex- tends the MapReduce programming model beyond batch processing, and can reduce completion times and im- prove system utilization for batch jobs as well. We present a modified version of the Hadoop MapReduce framework that supports online aggregation, which al- lows users to see “early returns” from a job as it is being computed.

Online aggregation and continuous query support in MapReduce

    https://dl.acm.org/citation.cfm?id=1807295
    Online aggregation and continuous query support in MapReduce. Full Text: PDF ... also supports continuous queries, which enable MapReduce programs to be written for applications such as event monitoring and stream processing. HOP retains the fault tolerance properties of Hadoop, and can run unmodified user-defined MapReduce programs ...Cited by: 206

Online Aggregation and Continuous Query support in …

    http://www.neilconway.org/docs/sigmod2010_hop_demo.pdf
    Online Aggregation and Continuous Query support in MapReduce Tyson Condie, Neil Conway, Peter Alvaro, Joseph M. Hellerstein UC Berkeley John Gerth, Justin Talbot Stanford University Khaled Elmeleegy, Russell Sears Yahoo! Research ABSTRACT MapReduce is a popular framework for data-intensive distributed computing of batch jobs.

(PDF) Online aggregation and continuous query support in ...

    https://www.researchgate.net/publication/221213893_Online_aggregation_and_continuous_query_support_in_MapReduce
    Online aggregation and continuous query support in MapReduce. ... MapReduce framework that supports online aggregation, which allows users to see "early returns" from a job as it is being computed ...

Online aggregation and continuous query support in mapreduce

    http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.232.6892
    online aggregation continuous query support batch job unmodified user-defined mapreduce program popular framework modified version completion time hadoop mapreduce framework data-intensive distributed computing early return system utilization modified mapreduce architecture hadoop online prototype fault tolerance property mapreduce task event ...

[MAPREDUCE-1211] Online aggregation and continuous query ...

    http://issues.apache.org/jira/browse/MAPREDUCE-1211
    This extends the MapReduce programming model beyond batch processing, and can reduce completion times and improve system utilization for batch jobs as well. We have built a modified version of the Hadoop MapReduce framework that supports online aggregation, which allows users to see "early returns" from a job as it is being computed.

Online aggregation and continuous query support in mapreduce

    https://core.ac.uk/display/21907933
    This extends the MapReduce programming model beyond batch processing, and can reduce completion times and improve system utilization for batch jobs as well. We demonstrate a modified version of the Hadoop MapReduce framework that supports online aggregation, which allows users to see “early returns ” from a job as it is being computed.

MapReduce online - ACM Digital Library

    https://dl.acm.org/citation.cfm?id=1855732
    Tyson Condie , Neil Conway , Peter Alvaro , Joseph M. Hellerstein , John Gerth , Justin Talbot , Khaled Elmeleegy , Russell Sears, Online aggregation and continuous query support in MapReduce, Proceedings of the 2010 ACM SIGMOD International Conference on Management of data, June 06-10, 2010, Indianapolis, Indiana, USACited by: 1032

MapReduce Online - GitHub Pages

    https://dirtysalt.github.io/html/mapreduce-online.html
    This ex- tends the MapReduce programming model beyond batch processing, and can reduce completion times and im- prove system utilization for batch jobs as well. We present a modified version of the Hadoop MapReduce framework that supports online aggregation, which al- lows users to see “early returns” from a job as it is being computed.

OATS: online aggregation with two-level sharing strategy ...

    https://link.springer.com/article/10.1007/s10619-014-7141-2
    Jan 30, 2014 · To eliminate such additional execution cost and improve the overall performance, we present online aggregation with two-level sharing strategy in cloud (OATS) based on MapReduce framework in this paper to effectively support online aggregation for large scale concurrent query processing in skewed data distribution.Cited by: 10

MapReduce Online - static.usenix.org

    https://static.usenix.org/event/nsdi10/tech/full_papers/condie.pdf
    of the Hadoop MapReduce framework that supports on-line aggregation, which allows users to see “early returns” from a job as it is being computed. Our Hadoop Online Prototype (HOP) also supports continuous queries, which enable MapReduce programs to be written for applica-tions such as event monitoring and stream processing.



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