Hongbin Yan
China University of Geosciences (Beijing)
5 Papers
46 Citations
Hongbin Yan is an academic researcher from China University of Geosciences (Beijing). The author has contributed to research in topics: Stream & Scheduling (computing). The author has an hindex of 3, co-authored 5 publications. Previous affiliations of Hongbin Yan include China University of Geosciences (Wuhan).
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Papers
Rethinking elastic online scheduling of big data streaming applications over high-velocity continuous data streams
TL;DR: Experimental results conclusively demonstrate that the proposed E-Stream provides better system response time and applications fairness compared to the existing Storm framework.
Lr-Stream: using latency and resource aware scheduling to improve latency and throughput for streaming applications
TL;DR: Experimental results demonstrate that the proposed Lr-Stream yields significant performance improvements in terms of reducing system latency and increasing system throughput.
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Performance evaluation and analysis of multiple scenarios of big data stream computing on storm platform
TL;DR: In this paper, the authors investigated the performance of Storm under different application scenarios, and found that the throughput and latency of Storm are greatly affected by the number of instances of each vertex in task topology, and the available resources in data center.
Performance Analysis of Storm in a Real-World Big Data Stream Computing Environment
Hongbin Yan,Dawei Sun,Shang Gao,Zhangbing Zhou +3 more
- 11 Dec 2017
TL;DR: Key factors that affect the throughput and latency of the Storm cluster are identified, and the performance of Storm’s fault-tolerant mechanism is evaluated, which help users use the computation system more efficiently.
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A Latency-Sensitive Elastic Adaptive Scheduling in Distributed Stream Computing Systems
Hanyu He,Dawei Sun,Hongbin Yan,Shang Gao +3 more
- 01 Jan 2019
TL;DR: A performance model La-Stream (latency-sensitive elastic adaptive scheduling) is proposed and built by adopting a quantitative method for calculating the amount of computation required between task map nodes and node communication and three functional modules of La-steam are proposed and implemented.
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