山东农业大学学报（自然科学版）2024，Vol.55Issue(3)：385-395,11.DOI:10.3969/j.issn.1000-2324.2024.03.010
基于服务的云边端协同流数据处理体系结构研究
Architecture for Stream Processing with Service-based Method in Cloud-Edge Collaboration Environment
张守利 1刘晨2
作者信息
- 1. 山东农业大学信息科学与工程学院,山东 泰安 271018
- 2. 北方工业大学大规模流数据集成与分析技术北京市重点实验室,北京 100144
- 折叠
摘要
Abstract
The rapid development of Internet of Things technologies has generated large-scale sensor streaming data and high-concurrency processing requirements for streaming data.The cloud-edge collaborative computing is becoming an effective approach for low-latency,highly reliable stream data processing.In order to improve the flexibility and scalability of stream data processing system,reduce the delay of stream data processing,this paper proposes a decentralized architecture for streaming data processing with a service-based method in cloud-edge collaborative environment.A proactive data service model for large-scale streaming data services is designed.The streaming data and streaming data processing are abstracted into appropriate grained services that can be independently deployed and dynamically scheduled,decoupling data from computation.By introducing the event-driven mechanism,we proposed the event-driven based cloud edge service dynamic collaboration mechanism to improve the flexibility of the system effectively.A simulation-based evaluation based on real-world power quality sensor streaming data verified the effectiveness and efficiency of our approach.关键词
流数据处理/云边端协同/服务计算/事件驱动/服务协作Key words
Streaming data processing/cloud-edge collaboration/service computing/event driven/service collaboration分类
信息技术与安全科学引用本文复制引用
张守利,刘晨..基于服务的云边端协同流数据处理体系结构研究[J].山东农业大学学报（自然科学版）,2024,55(3):385-395,11.
