An Efficient Design and Implementation of Multi-level Cache for Database Systems

Purpose This paper aims to present the design optimisation using genetic algorithm (GA) to achieve the highest strength to weight (S/W) ratio, for cold-formed steel residential roof truss. Design/methodology/approach The GA developed in this research simultaneously optimises roof pitch, truss configurations, joint coordinates and applied loading of typical dual-pitched symmetrical residential roof truss. The residential roof truss was considered with incremental uniform distributed loading, in both gravitational and uplift directions. The structural analyses of trusses were executed in this GA using finite element toolbox. The ultimate strength and serviceability of trusses were checked through the design formulation implemented in GA, according to the Australian standard, AS/NZS 4600 Cold-formed Steel Structures. Findings An optimum double-Fink roof truss which possess highest S/W ratio using GA was determined, with optimum roof pitch of 15Â°. The optimised roof truss is suitable for industrial application with its higher S/W ratio and cost-effectiveness. The combined methodology of multi-level optimisation and simultaneous optimisation developed in this research could determine optimum roof truss with consistent S/W ratio, although with huge GA search space. Research limitations/implications The sizing of roof truss member is not optimised in this paper. Only single type of cold-formed steel section is used throughout the whole optimisation. The design of truss connection is not considered in this paper. The corresponding connection costs are not included in the proposed optimisation. Practical implications The optimum roof truss presented in this paper is suitable for industrial application with higher S/W ratio and lower cost, in either gravitational or uplift loading configurations. Originality/value This research demonstrates the approaches in combining multi-level optimisation and simultaneous optimisation to handle large number of variables and hence executed an efficient design optimisation. The GA designed in this research determines the optimum residential roof truss with highest S/W ratio, instead of lightest truss weight in previous studies.

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Design and Implementation of SSD-Assisted Backup and Recovery for Database Systems

IEEE Transactions on Knowledge and Data Engineering ◽

10.1109/tkde.2018.2884466 ◽

2020 ◽

Vol 32 (2) ◽

pp. 260-274

Author(s):

Yongseok Son ◽

Moonsub Kim ◽

Sunggon Kim ◽

Heon Young Yeom ◽

Nam Sung Kim ◽

...

Keyword(s):

Database Systems ◽

Design And Implementation ◽

Backup And Recovery

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An Efficient Design and Implementation of the In-Parameter-Order Algorithm

Mathematics in Computer Science ◽

10.1007/s11786-017-0326-0 ◽

2017 ◽

Vol 12 (1) ◽

pp. 51-67 ◽

Cited By ~ 14

Author(s):

Kristoffer Kleine ◽

Dimitris E. Simos

Keyword(s):

Efficient Design ◽

Design And Implementation ◽

Order Algorithm

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Implementation Techniques for Extensible Object Storage Systems

Advances in Database Research - Advanced Topics in Database Research, Volume 2 ◽

10.4018/978-1-59140-063-9.ch006 ◽

2011 ◽

pp. 104-127

Author(s):

Jung-Ho Ahn ◽

Ha-Joo Song ◽

Hyoung-Joo Kim

Keyword(s):

High Performance ◽

Storage System ◽

Object Oriented ◽

Middle Layer ◽

Database Systems ◽

Object Oriented Design ◽

Design And Implementation ◽

Pointer Swizzling ◽

Implementation Techniques ◽

Object Storage

An efficient object manager, a middle layer on top of a storage system, is essential to ensure acceptable performance of object-oriented database systems, since a traditional record-based storage system is too simple to provide object abstraction. In this chapter, we design and implement an extensible object storage system, called Soprano, in an object-oriented fashion which has shown great potential in extensibility and code reusability. Soprano provides a uniform object abstraction and gives us the convenience of persistent programming through many useful persistent classes. Also, Soprano supports efficient object management and pointer swizzling for fast object access. This chapter investigates several aspects of the design and implementation of the extensible object storage system. Our experience shows the feasibility of using an object-oriented design and implementation in building an object storage system that should have both extensibility and high performance.

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Multi-Level Modeling Methodology for Optimal Design of Electric Machines Based on Multi-Disciplinary Design Optimization

Energies ◽

10.3390/en12214173 ◽

2019 ◽

Vol 12 (21) ◽

pp. 4173

Author(s):

Zehua Dai ◽

Li Wang ◽

Lexuan Meng ◽

Shanshui Yang ◽

Ling Mao

Keyword(s):

Power Systems ◽

Design Optimization ◽

Synchronous Generator ◽

Electric Machines ◽

Modeling Method ◽

System Level ◽

Superior Performance ◽

Efficient Design ◽

Modeling Methodology ◽

Multi Level

The transportation sector is undergoing electrification to gain advantages such as lighter weight, improved reliability, and enhanced efficiency. As contributors to the safety of embedded critical functions in electrified systems, better sizing of electric machines in vehicles is required to reduce the cost, volume, and weight. Although the designs of machines are widely investigated, existing studies are mostly complicated and application-specific. To satisfy the multi-level design requirements of power systems, this study aims to develop an efficient modeling method of electric machines with a background of aircraft applications. A variable-speed variable-frequency (VSVF) electrically excited synchronous generator is selected as a case study to illustrate the modular multi-physics modeling process, in which weight and power loss are the major optimization goals. In addition, multi-disciplinary design optimization (MDO) methods are introduced to facilitate the optimal variable selection and simplified model establishment, which can be used for the system-level overall design. Several cases with industrial data are analyzed to demonstrate the effectiveness and superior performance of the modeling method. The results show that the proposed practices provide designers with accurate, fast, and systematic means to develop models for the efficient design of aircraft power systems.

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