Efficient topic partitioning of Apache Kafka for high-reliability real-time data streaming applications-Reference-Cited by-同舟云学术

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Efficient topic partitioning of Apache Kafka for high-reliability real-time data streaming applications

Published:2024-05 Issue: Volume:154 Page:173-188
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Raptis Theofanis P.^ORCID,Cicconetti Claudio^ORCID,Passarella Andrea

Publisher

Elsevier BV

Reference28 articles.

1. Improving the schedulability of real-time tasks using fog computing;Fizza;IEEE Trans. Serv. Comput.,2022

2. Distributed load balancing for heterogeneous fog computing infrastructures in smart cities;Beraldi;Pervasive Mob. Comput.,2020

3. A study of distributed SDN controller based on Apache Kafka;Moon,2020

4. Orchestration in fog computing: A comprehensive survey;Costa;ACM Comput. Surv.,2022

5. Fog computing enabled future mobile communication networks: A convergence of communication and computing;Zhou;IEEE Commun. Mag.,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Distributed Real-Time Monitoring Scheme for Air Pressure Stream Data Based on Kafka;Applied Sciences;2024-06-07

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