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Enhancing Storage Efficiency and Performance: A Survey of Data Partitioning Techniques
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作者 刘鹏举 李翠平 陈红 《Journal of Computer Science & Technology》 SCIE EI CSCD 2024年第2期346-368,共23页
Data partitioning techniques are pivotal for optimal data placement across storage devices,thereby enhancing resource utilization and overall system throughput.However,the design of effective partition schemes faces m... Data partitioning techniques are pivotal for optimal data placement across storage devices,thereby enhancing resource utilization and overall system throughput.However,the design of effective partition schemes faces multiple challenges,including considerations of the cluster environment,storage device characteristics,optimization objectives,and the balance between partition quality and computational efficiency.Furthermore,dynamic environments necessitate robust partition detection mechanisms.This paper presents a comprehensive survey structured around partition deployment environments,outlining the distinguishing features and applicability of various partitioning strategies while delving into how these challenges are addressed.We discuss partitioning features pertaining to database schema,table data,workload,and runtime metrics.We then delve into the partition generation process,segmenting it into initialization and optimization stages.A comparative analysis of partition generation and update algorithms is provided,emphasizing their suitability for different scenarios and optimization objectives.Additionally,we illustrate the applications of partitioning in prevalent database products and suggest potential future research directions and solutions.This survey aims to foster the implementation,deployment,and updating of high-quality partitions for specific system scenarios. 展开更多
关键词 data partitioning SURVEY partitioning feature partition generation partition update
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Modular Design of Complex Product Based on the Triple Fusion of Function/Feature/Knowledge 被引量:1
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作者 李宝童 洪军 +2 位作者 李婷 邱志惠 陈玉宝 《Journal of Shanghai Jiaotong university(Science)》 EI 2010年第5期563-570,共8页
The modular design technology is of importance increasingly,as product structure is more and more complex.Modular design systems face challenging problems as the design information tends to be dynamic,redundant,and ve... The modular design technology is of importance increasingly,as product structure is more and more complex.Modular design systems face challenging problems as the design information tends to be dynamic,redundant,and very large.This paper describes a novel approach for handling them.In this approach,a partition is firstly performed for the complex structural components by mapping functions to the structures layer by layer.Based on this partition,a comprehensive design matrix is then developed to identify the key design mode which is driven by a special function.The design process is also programmed by analyzing the coupled information on both the functional and structural hierarchies.Then,the integrated knowledge model based on object-oriented method and hybrid inference method is constructed.In this model,knowledge can be organized at hierarchical classification and expressed with different forms.Finally,the methodology developed has been applied to a real application in automobile cylinder block design and the results are presented. 展开更多
关键词 modular design functional feature partition comprehensive design matrix knowledge model
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