Optimizing data stream processing for large‐scale applications-Reference-Cited by-同舟云学术

Optimizing data stream processing for large‐scale applications

Published:2018-06-19 Issue:9 Volume:48 Page:1607-1641
ISSN:0038-0644
Container-title:Software: Practice and Experience
language:en
Short-container-title:Softw Pract Exper

Author:

Cappellari Paolo¹^ORCID,Roantree Mark²,Chun Soon Ae¹

Affiliation:

1. The City University of New York New York NY USA

2. Insight Centre for Data Analytics, School of Computing Dublin City University Dublin Ireland

Funder

National Science Foundation

Publisher

Wiley

Subject

Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/spe.2596

Reference43 articles.

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2. Google Cloud Platform: Stream Analytics.https://cloud.google.com/solutions/big-data/stream-analytics/. Published2018. Accessed February 2 2018.

3. Amazon Web Services: Kinesis.https://aws.amazon.com/kinesis/. Published2018. Accessed February 2 2018.

4. Microsoft Azure: Streaming Analytics.https://azure.microsoft.com/en-us/services/stream-analytics/. Published2018. Accessed February 2 2018.

5. IBM Cloud: Streaming Analytics.https://www.ibm.com/cloud/streaming-analytics. Published2018. Accessed February 2 2018.

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