| Title | A Novel Key-Value Based Real-Time Data Management Framework for Ship Integrated Power Cyber-Physical System |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Shang, Chengya, Bao, Xianqiang, Fu, Lijun, Xia, Li, Xu, Xinghua, Xu, Chengcheng |
| Conference Name | 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) |
| Date Published | may |
| Keywords | Big Data, Cyber physical system, cyber-physical system, Cyber-physical systems, data handling, Data models, Data processing, data-driven intelligence, delays, generation ship integrated power system, Human Behavior, human factors, Integrated Power System, IPS, key-value data model, Key-value Store, marine engineering, Marine vehicles, Metrics, open source in-memory key-value store, power engineering computing, power system management, Power systems, pubcrawl, Real-time Data Management, real-time data management prototype system, real-time data processing, Real-time Systems, relational data management, relational databases, resilience, Resiliency, Scalability, ship Big Data, ship integrated power cyber-physical system, ship integrated power cyber-physics system, ships, storage management |
| Abstract | The new generation ship integrated power system (IPS) realizes high level informatization for various physical equipments, and gradually develops to a cyber-physical system (CPS). The future trend is collecting ship big data to achieve data-driven intelligence for IPS. However, traditional relational data management framework becomes inefficient to handle the real-time data processing in ship integrated power cyber-physics system. In order to process the large-scale real-time data that collected from numerous sensors by field bus of IPS devices within acceptable latency, especially for handling the semi-structured and non-structured data. This paper proposes a novel key-value data model based real-time data management framework, which enables batch processing and distributed deployment to acquire time-efficiency as well as system scalable. We implement a real-time data management prototype system based on an open source in-memory key-value store. Finally, the evaluation results from the prototype verify the advantages of novel framework compared with traditional solution. |
| DOI | 10.1109/ISGT-Asia.2019.8881124 |
| Citation Key | shang_novel_2019 |
A Novel Key-Value Based Real-Time Data Management Framework for Ship Integrated Power Cyber-Physical System