Cost-Efficient and Latency-Aware Event Consuming in Workload-Skewed Distributed Event Queues-Reference-Cited by-同舟云学术

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Cost-Efficient and Latency-Aware Event Consuming in Workload-Skewed Distributed Event Queues

Published:2022-08-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 6th International Conference on Cloud and Big Data Computing
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Author:

Ezzeddine Mazen¹,Migliorini Gael²,Baude Francoise³,Huet Fabrice³

Affiliation:

1. computer sciences, Universite Cote D'Azur, France and Software architecture, HighTech Payment Systems HPS, France

2. Software architecture, HighTech Payment Systems HPS, France

3. computer sciences, Universite Cote D'Azur, France

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3555962.3555973

Reference28 articles.

1. Ken Goodhope , Joel Koshy , Jay Kreps , Neha Narkhede , Richard Park , Jun Rao , and Victor Yang Ye . Building LinkedIn's real-time activity data pipeline . IEEE Data Eng. Bull ., 35(2), 2012 . Ken Goodhope, Joel Koshy, Jay Kreps, Neha Narkhede, Richard Park, Jun Rao, and Victor Yang Ye. Building LinkedIn's real-time activity data pipeline. IEEE Data Eng. Bull., 35(2), 2012.

2. Deep Learning for IoT Big Data and Streaming Analytics: A Survey

3. Real-time healthcare monitoring system using wireless sensor network

4. From a monolithic big data system to a microservices event-driven architecture;Laigner R.;IEEE 46th Euromicro Conference on Software Engineering and Advanced Applications,2020

5. HawkEDA

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