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Akademický článek

A scalable load balancing strategy based on distributed server cluster

Autor: Qiao SUN, Buqiao DENG, Zhiqiang WANG, Xubin PEI

Publikováno v: Dianxin kexue, Vol 33, Pp 190-196 (2017)

A distributed database load balancing algorithm based on software defined networking was proposed,which separated the data,control and application to calculate the actual load of a single server in the server cluster.By querying the streams sampling

Externí odkaz: https://doaj.org/article/3adc7f8ea1634dd6b728897024ee9ce2

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Non-redundant Distributed Database Allocation Technology Research

Autor: Qiao Sun, Lanmei Fu, Jiasong Sun, Buqiao Deng

Publikováno v: 2017 International Conference on Computing Intelligence and Information System (CIIS).

Redundancy is a traditional technique for improving the reliability of distributed systems. In many scenes, system redundancy is not available or not feasible. How to assign the tasks of parallel applications to the distributed system's processors an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bb075b66af672a90ff9a9a3b8765b29d
https://doi.org/10.1109/ciis.2017.57

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A Tool of Benchmarking Realtime Analysis for Massive Behavior Data

Autor: Mingyan Teng, Xiongpai Qin, Lei Sun, Buqiao Deng, Qiao Sun

Publikováno v: Web and Big Data ISBN: 9783319635637
APWeb/WAIM (2)

With the increasing development of platforms for massive users, the amount of data generated from these platforms is rapidly increasing. A large number of big data analysis frameworks have been designed to analyze data generated from these platforms.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f6dba95702af193ace19c859b65ba0ac
https://doi.org/10.1007/978-3-319-63564-4_33

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Interactive Entity Centric Analysis of Log Data

Autor: Buqiao Deng, Cui Wei, Xiongpai Qin, Qiao Sun

Publikováno v: Web and Big Data ISBN: 9783319635637
APWeb/WAIM (2)

Interactive entity centric analysis of log data can help us gain fine granularity insights on business. In this paper, firstly we describe a fiber based partitioning method for log data, which accelerate later entity centric analysis. Secondly, we pr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::270ee270f95930cdb39b36abe961da59
https://doi.org/10.1007/978-3-319-63564-4_34

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