2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID) 2017
DOI: 10.1109/ccgrid.2017.126
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Exploring Shared State in Key-Value Store for Window-Based Multi-pattern Streaming Analytics

Abstract: We are now witnessing an unprecedented growth of data that needs to be processed at always increasing rates in order to extract valuable insights. Big Data streaming analytics tools have been developed to cope with the online dimension of data processing: they enable real-time handling of live data sources by means of stateful aggregations (operators). Current state-of-art frameworks (e.g. Apache Flink [1]) enable each operator to work in isolation by creating data copies, at the expense of increased memory ut… Show more

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Cited by 7 publications
(1 citation statement)
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“…Moreover, real-time analyses have been performed by using key value analysis [22], streaming analysis using Apache Spark, and network analysis using the Open Network Operating System controller in real time [23,24]. YARN, which is used in batch processing, is a resource management platform of Hadoop that influences the energy efficiency of a cluster and utility of the application [25,26].…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, real-time analyses have been performed by using key value analysis [22], streaming analysis using Apache Spark, and network analysis using the Open Network Operating System controller in real time [23,24]. YARN, which is used in batch processing, is a resource management platform of Hadoop that influences the energy efficiency of a cluster and utility of the application [25,26].…”
Section: Introductionmentioning
confidence: 99%