2023 IEEE Cloud Summit 2023
DOI: 10.1109/cloudsummit57601.2023.00011
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Some New Observations on SLO-aware Edge Stream Processing

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Cited by 2 publications
(1 citation statement)
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“…In particular, we consider the class of applications known as Data Stream Processing and Analytics (DSPA) applications, which are used to process unbounded data streams in order to extract valuable information in a timely manner using a series of continuous operators such as aggregation, filtering, joining, etc. [1]. The data stream processing engine such as Apache Flink [2], Apache Kafka [3], Nebullastream [4], etc., are the main frameworks used to implement and deploy the DSPA applications and were essentially designed to be deployed in the cloud [5].…”
Section: Introductionmentioning
confidence: 99%
“…In particular, we consider the class of applications known as Data Stream Processing and Analytics (DSPA) applications, which are used to process unbounded data streams in order to extract valuable information in a timely manner using a series of continuous operators such as aggregation, filtering, joining, etc. [1]. The data stream processing engine such as Apache Flink [2], Apache Kafka [3], Nebullastream [4], etc., are the main frameworks used to implement and deploy the DSPA applications and were essentially designed to be deployed in the cloud [5].…”
Section: Introductionmentioning
confidence: 99%