Performance Optimization Techniques

2021 ◽  
pp. 117-165
Author(s):  
Douglas H Morais
Keyword(s):  
Performance Optimization ◽  
Optimization Techniques

The Design and Performance Optimization of Thermal Systems

1990 ◽  
Vol 112 (1) ◽  
pp. 86-93 ◽  
Author(s):  
M. R. von Spakovsky ◽  
R. B. Evans
Keyword(s):  
Performance Optimization ◽  
Optimization Techniques ◽  
Operating Costs ◽  
Capital Expenditures ◽  
Analytical Determination ◽  
Second Law ◽  
Thermal Systems ◽  
Rules Of Thumb ◽  
And Performance

Optimization techniques are, in general, still not used today in the design and performance analysis of thermal systems and their components. The engineer’s search for the best system configuration is based solely on rules-of-thumb and not on a systematic, analytical determination of what the optimal design or performance should be. In addition, economic factors are not directly tied to thermodynamic ones; therefore, the economic ramifications of thermodynamic changes to the system are not usually, if ever, immediately apparent. A general analytical approach that directly determines the optimum thermodynamic and econmic behavior of thermal systems is discussed and illustrated using Rankine cycles. Utilizing the Second Law and typical Second Law costing techniques, this method provides for the creation of mathematical models that balance a cycle’s operating costs and capital expenditures. Such models can be solved numerically, subject to various constraints, for the optimum design and performance of thermal systems.

Review of performance optimization techniques applied to wind turbines

2015 ◽  
Vol 142 ◽  
pp. 361-388 ◽  
Author(s):  
Adam Chehouri ◽  
Rafic Younes ◽  
Adrian Ilinca ◽  
Jean Perron
Keyword(s):  
Wind Turbines ◽  
Performance Optimization ◽  
Optimization Techniques

I/O Performance Optimization Techniques for Hybrid Hard Disk-Based Mobile Consumer Devices

2007 ◽  
Vol 53 (4) ◽  
pp. 1469-1476 ◽  
Author(s):  
Young-jin Kim ◽  
Sung-jin Lee ◽  
Kangwon Zhang ◽  
Jihong Kim
Keyword(s):  
Performance Optimization ◽  
Hard Disk ◽  
Optimization Techniques ◽  
Mobile Consumer ◽  
Consumer Devices

Research on Software Optimization Solutions of E-Commerce Site

2012 ◽  
Vol 198-199 ◽  
pp. 626-630
Author(s):  
Xin Wang
Keyword(s):  
Electronic Commerce ◽  
Dynamic Load ◽  
Performance Optimization ◽  
Optimization Methods ◽  
System Optimization ◽  
Optimization Techniques ◽  
Load Optimization ◽  
Software Optimization ◽  
Database Performance ◽  
Cluster Technology

There are generally two types of E-commerce platform optimized programs: hardware optimization and software optimization, This paper first analyzes the system optimization techniques of software optimization, Including dynamic load optimization technology and cluster technology; Then studies the database performance optimization methods from the table, connection pooling, query and several other aspects; Finally to carry on the research to optimization electronic commerce platform used the cache technology. Proposes a universal significance of E-commerce platform software optimization solutions, these studies have some references for relevant E-commerce website designers and maintainers, and provides a strategy for the corresponding E-commerce enterprises to optimize platform environments.

scholarly journals Index and Materialized View Selection in Data Warehouses

2009 ◽  
pp. 693-700 ◽  
Author(s):  
Kamel Aouiche ◽  
Jérôme Darmont
Keyword(s):  
Response Time ◽  
Performance Optimization ◽  
Data Access ◽  
Original Data ◽  
Optimization Techniques ◽  
Access Time ◽  
Materialized Views ◽  
Storage Space ◽  
Data Warehouses ◽  
Query Response Time

Database management systems (DBMSs) require an administrator whose principal tasks are data management, both at the logical and physical levels, as well as performance optimization. With the wide development of databases and data warehouses, minimizing the administration function is crucial. This function includes the selection of suitable physical structures to improve system performance. View materialization and indexing are presumably some of the most effective optimization techniques adopted in relational implementations of data warehouses. Materialized views are physical structures that improve data access time by precomputing intermediary results. Therefore, end-user queries can be efficiently processed through data stored in views and do not need to access the original data. Indexes are also physical structures that allow direct data access. They avoid sequential scans and thereby reduce query response time. Nevertheless, these solutions require additional storage space and entail maintenance overhead. The issue is then to select an appropriate configuration of materialized views and indexes that minimizes both query response time and maintenance cost given a limited storage space. This problem is NP hard (Gupta & Mumick, 2005).

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