A Buffer Pool Optimization Algorithm Based on Max-Heap

2014 ◽  
Vol 945-949 ◽  
pp. 2439-2442
Author(s):  
Xiao Mei Xiong
Keyword(s):  
Optimization Algorithm ◽  
Database Access ◽  
Buffer Pool ◽  
Operation Efficiency ◽  
Data Query ◽  
Recursive Sequence ◽  
Access Request

To reduce the number of requests to the database connection, this paper designed the max-heap in buffer pool. We use the buffer pool maintenance algorithm to manage SQL data query request when database access intensive. When we update the max-heap, the structure of the buffer pool will be updated and the heap will be balance through the heap of recursive sequence, it got good performance in database access request. Experiment results show that this algorithm can improve the operation efficiency of system effectively.

A general trajectory optimization method for aircraft taxiing on flight deck of carrier

2018 ◽  
Vol 233 (4) ◽  
pp. 1340-1353 ◽  
Author(s):  
Yu Wu ◽  
Ning Hu ◽  
Xiangju Qu
Keyword(s):  
Optimization Algorithm ◽  
Trajectory Optimization ◽  
Fitness Function ◽  
Control Variable ◽  
Optimization Method ◽  
Operation Efficiency ◽  
Ground Motion Model ◽  
Aircraft System ◽  
Chicken Swarm Optimization ◽  
Flight Deck

Enhancing operation efficiency of flight deck has become a hotspot because it has an important impact on the fighting capacity of the carrier–aircraft system. To improve the operation efficiency, aircraft need taxi to the destination on deck with the optimal trajectory. In this paper, a general method is proposed to solve the trajectory optimization problem for aircraft taxiing on flight deck considering that the existing methods can only deal with the problem in some specific cases. Firstly, the ground motion model of aircraft, the collision detection strategy and the constraints are included in the mathematical model. Then the principles of the chicken swarm optimization algorithm and the generality of the proposed method are explained. In the trajectory optimization algorithm, several strategies, i.e. generation of collocation points, transformation of control variable, and setting of segmented fitness function, are developed to meet the terminal constraints easier and make the search efficient. Three groups of experiments with different environments are conducted. Aircraft with different initial states can reach the targets with the minimum taxiing time, and the taxiing trajectories meet all the constraints. The reason why the general trajectory optimization method is validated in all kinds of situations is also explained.

Based on SVM Classification of Connection Pools Algorithm

2014 ◽  
Vol 945-949 ◽  
pp. 2435-2438
Author(s):  
Juan Zhao ◽  
Hui Yun Xiong
Keyword(s):  
Classification Algorithm ◽  
Experimental Results ◽  
Svm Classifier ◽  
Database Access ◽  
Service Platform ◽  
Buffer Pool ◽  
Svm Classification ◽  
Connection Pool

The connection pool technology has become a deal with large amount of data requested a solution that is widely used now. This paper used the SVM classification algorithm for classified all database requests quickly, so the corresponding database request could be assigned to different connection pool distribution. We applied the connection pool to measurement service platform and tested on the accuracy of the SVM classifier and buffer pool hit ratios of the connection pool module. The experimental results show that the connection pools can improve the efficiency of database access obviously.

Improved RSA Algorithm and Application in Digital Signature

2015 ◽  
Vol 713-715 ◽  
pp. 1741-1745
Author(s):  
Zhen Jiu Xiao ◽  
Zheng Tao Jiang ◽  
Yong Bin Wang ◽  
Hong Chen
Keyword(s):  
Combinatorial Optimization ◽  
Optimization Algorithm ◽  
Digital Signature ◽  
Operation Efficiency ◽  
Rsa Algorithm ◽  
Operation Speed ◽  
High Level ◽  
Improved Algorithm

In order to enhance the operation efficiency of RSA algorithm, a new improved algorithm was suggested in this paper which made some improvements in structure and operation, and it was applied to digital signature. The experiment made comparison between a combinatorial optimization algorithm which combined SMM with index of 2k hexadecimal algorithm and the new algorithm. It shows that the new algorithm reaches a high level in operation speed.

Application and Research of Data Acquisition Based on Database Technology of LabVIEW

2011 ◽  
Vol 267 ◽  
pp. 398-403
Author(s):  
Bing Hu ◽  
Xi Jun Liu ◽  
Shan Li
Keyword(s):  
Detection System ◽  
Automated Testing ◽  
Testing System ◽  
Database Access ◽  
Data Query ◽  
Database Technology ◽  
Sensor Signals ◽  
Management Functions ◽  
Data Requirements ◽  
Programming Interface

For automated testing system to manage harvesting data requirements, the paper discusses the method of using the tool of LabSQL database access to visit access database on LabVIEW programming circumstances, and gives an example of specific database management in data collection of application. The system communicated with fieldbus and based on VISA programming interface, acquisition to obtain multi-channel sensor signals. Reusing database technology to realize data query, backup, import management functions for the detection system collection income amount of data convenient and effective. This system has been applied in a automated testing system.

scholarly journals Research on Query Optimization of Classic Art Database Based on Artificial Intelligence and Edge Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Xiang Dong ◽  
Lijia Zeng
Keyword(s):  
Query Optimization ◽  
Optimization Algorithm ◽  
System Performance ◽  
Database Queries ◽  
Graph Data ◽  
Modern Information Technology ◽  
Data Query ◽  
Processing Power ◽  
Additional Task ◽  
The Cost

With the changes and development of the social era, my country’s classic art is slowly being lost. In order to more effectively inherit and preserve classic art, the collection and sorting of classic art data through modern information technology has become a top priority. Database storage is a good way. However, as the amount of data grows, the requirements for computing processing power and query speed for massive amounts of data and information are also increasing day by day. Faced with this problem, this article is aimed at studying the optimization of database queries through effective algorithms to improve the efficiency of data query. Based on the traditional database query optimization algorithm, this article improves on the traditional algorithm and proposes a semi-join query optimization algorithm, which reduces the number of connection cards and the number of columns and uses the number of blocks that participate in the semi-link algorithm connection and preconnection preview and selection. And other functions reduce the size of the participating block, and the connection sent between sites reduces the cost of sending between networks. The graph data query optimization algorithm is used to optimize the graph data query in the database to reduce the extra task overhead and improve the system performance. The experimental results of this paper show that through the data query optimization algorithm of this paper, the additional task overhead is reduced by 19%, the system performance is increased by 22%, and the data query efficiency is increased by 31%.

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