Parallelizing Stream Compression for IoT Applications on Asymmetric Multicores

Author:

Zeng Xianzhi1,Zhang Shuhao1

Affiliation:

1. ISTD Pillar Singapore University of Technology and Design,Singapore,Singapore

Funder

National Research Foundation

Publisher

IEEE

Reference93 articles.

1. Eclipse iot working group;IoT Developer Survey 2018,2020

2. Towards Concurrent Stateful Stream Processing on Multicore Processors

3. Real-time smart traffic management system for smart cities by using Internet of Things and big data

4. BriskStream

5. Arm cortex-a72 mpcore processor technical reference manual,2021

Cited by 3 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. Orchestrating scheduling, grouping and parallelism to enhance the performance of distributed stream computing system;Expert Systems with Applications;2024-11

2. Fast Parallel Recovery for Transactional Stream Processing on Multicores;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

3. A Hardware-Conscious Stateful Stream Compression Framework for IoT Applications (Vision);Proceedings of the 17th ACM International Conference on Distributed and Event-based Systems;2023-06-27

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