Peng Zhang's research while affiliated with Ministry of Water Resources China and other places
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Publications (7)
As the need for handling data from various sources becomes crucial for making optimal decisions, managing multi-model data has become a key area of research. Currently, it is challenging to strike a balance between two methods: polyglot persistence and multi-model databases. Moreover, existing studies suggest that current benchmarks are not complet...
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As we all know, the performance of database management system is directly linked to a vast array of knobs, which control various aspects of system operation, ranging from memory and thread counts settings to I/O optimization. Improper settings of configuration parameters are shown to have detrimental effects on performance, reliability and availabi...
With the increasing use of sensor and IoT technologies, sensor stream data is generated and consumed at an unprecedented scale. Traditional storage mechanisms represented by relational database systems become more and more difficult to adapt to the store, query, update and other operations of large-scale sensor stream data. This, in turn, has led t...
With the increasing amount of hydrological data in Chuhe river basin, the traditional relational database has been unable to meet the needs of users, which not only makes it difficult to achieve low latency and high throughput in the real-time transmission of hydrological data, but also causes the phenomenon of long time or even system crash when q...
The dependability and elasticity of various NoSQL stores in critical application are still worth studying. Currently, the cluster and backup technologies are commonly used for improving NoSQL availability, but these approaches do not consider the availability reduction when NoSQL stores encounter performance bottlenecks. In order to enhance the ava...
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With the widespread application of sensor and IoT technology in the field of water conservancy informatization, the traditional application systems based on Java EE or pure NoSQL databases for hydrological data processing and analysis have been difficult to meet the new requirements for processing and analyzing large-scale hydrological IoT stream d...
Citations
... Ao aplicar o mesmo critério para o texto completo, o número final obtido foi 3.Tabela 1. Repositórios Pesquisados e ResultadosApesar de encontrarmos uma quantidade relevante de trabalhos relacionados ao tema persistência poliglota, apenas os 3 trabalhos apresentados na Tabela 2 possuem foco em modelagem poliglota de BDs. Os demais trabalhos tratam outras temáticas, como gerenciamento de dados poliglotas[Lu and Holubová 2017, Khine andWang 2019], gerenciamento de evolução de Tabela 2. Trabalhos Selecionados através da RSL modelo de dados, Vavrek et al. 2019, migração de dados poliglotas[Niska 2024], inferência de esquemas], desenvolvimento de linguagens e interfaces de consulta[Bakhtin 2023, Koupil et al. 2021] e benchmarks para avaliação de performance em BDs multimodelo[Ye et al. 2023]. ...
Reference: Um Estudo sobre Modelagem Poliglota de Dados
... In our previous work [15], we proposed MMDTune, a parameter-tuning method for multimodel databases based on deep reinforcement learning. MMDTune has the problems of long training time and low computational efciency, which cannot be dynamically adjusted in the course of practical application. ...
... Definisi dari NoSQL merupakan singkatan dari "Not Only SQL", "Not Relational", atau "non-relational, distributed dan non-AICD-compliant data storage system" [8] yang umumnya memiliki sekiranya 6 fitur[9]: ...
