Architectural Design Of Data Stream-Based Big Data Real-Time Analysis System

@inproceedings{Liu2017ArchitecturalDO,
  title={Architectural Design Of Data Stream-Based Big Data Real-Time Analysis System},
  author={Qian Liu and Jun Lv and Xun Yuan and Renyi Luo and Dekui Lv},
  year={2017},
  url={https://api.semanticscholar.org/CorpusID:67386481}
}
The article analyzes and compares the mainstream open-source technology and then designs the system architecture that consists of data collection, data distribution, real-time computing, persistent storage, resource allocation and scheduling.
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Big Data Stream Computing: Technologies and Instances

    S. Da
    Computer Science, Business
  • 2014
A research of the data computing architecture and the key issues in stream computing in big data environments and addresses some new challenges of the stream big data systems, such as scalability, fault tolerance, consistency, load balancing and throughput.