StroMAX: Partitioning-Based Scheduler for Real-Time Stream Processing System

Author:

Jiang Jiawei,Zhang Zhipeng,Cui Bin,Tong Yunhai,Xu Ning

Publisher

Springer International Publishing

Cited by 7 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. Storm-RTS: Stream Processing with Stable Performance for Multi-Cloud and Cloud-edge;2023 IEEE 16th International Conference on Cloud Computing (CLOUD);2023-07

2. A state lossless scheduling strategy in distributed stream computing systems;Journal of Network and Computer Applications;2022-10

3. TATA: Throughput-Aware TAsk Placement in Heterogeneous Stream Processing with Deep Reinforcement Learning;2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom);2021-09

4. Resource Management and Scheduling in Distributed Stream Processing Systems;ACM Computing Surveys;2021-05-31

5. Towards a Security-Aware Deployment of Data Streaming Applications in Fog Computing;Fog/Edge Computing For Security, Privacy, and Applications;2021

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