Meng Ma
Peking University
17 Papers
23 Citations
Meng Ma is an academic researcher from Peking University. The author has contributed to research in topics: Computer science & Cloud computing. The author has an hindex of 5, co-authored 17 publications.
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Papers
Intelligent Transportation System(ITS): Concept, Challenge and Opportunity
Yangxin Lin,Ping Wang,Meng Ma +2 more
- 26 May 2017
TL;DR: An ITS architecture is proposed, which is based on the requirement and technology at the present stage, to sort out the bottleneck issue that lie behind intelligent transportation research and the future prospect of the ITS and research focus as new technologies become available is explored.
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Middleware for the Internet of Things: A survey on requirements, enabling technologies, and solutions
TL;DR: This survey discusses IoT middleware requirements and challenges, and presents the current state of research in this domain, and a technical taxonomy is presented according to the abstract and processing approach of data.
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MS-Rank: Multi-Metric and Self-Adaptive Root Cause Diagnosis for Microservice Applications
Meng Ma,Weilan Lin,Disheng Pan,Ping Wang +3 more
- 08 Jul 2019
TL;DR: A self-adaptive root cause diagnosis framework, named MS-Rank, to analyze multiple metrics collected from micro-service architecture and establishes a self-optimizing mechanism to dynamically update the confidence weight of different metrics according to their diagnosis precision.
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PrePCT: Traffic congestion prediction in smart cities with relative position congestion tensor
TL;DR: The results show that the proposed Predictor for Position Congestion Tensor model can accurately capture the temporal and spatial characteristics of traffic and generally outperforms the Convolution-based deep Neural Network modeling Periodic traffic data.
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Data and Decision Intelligence for Human-in-the-Loop Cyber-Physical Systems: Reference Model, Recent Progresses and Challenges
TL;DR: This paper proposes a human-in-the-loop reference model for CPS, which extends the traditional cyber-physical interaction into a closed-loop process based on cyber, physical and human factors, and defines it as three aspects: semantic, interactive, iterative and analyze the major challenges from the perspective of data characteristics.
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