Performance Evaluation of NoSQL and SQL Queries in Response Time for the E-government

2018 ◽  
Author(s):  
Ana Flores ◽  
Stalin Ramirez ◽  
Renato Toasa ◽  
Javier Vargas ◽  
Renato Urvina - Barrionuevo ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Response Time

scholarly journals Proposal and Performance Evaluation of a Magneto-Striction Type Torque Sensor Consisting of Small-Sized Coils Connected in Series

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Takahiko Tsujisawa ◽  
Kazuhiro Yamakawa
Keyword(s):  
Performance Evaluation ◽  
Response Time ◽  
Detection Method ◽  
Torque Sensor ◽  
Detection Range ◽  
Performance Targets ◽  
Sensor Drift ◽  
In Series ◽  
Target Performance ◽  
And Performance

We propose a sensor consisting of small-sized coils connected in series and a detection method for the sensor based on the iteration of the periodic time difference. The evaluation results are also presented and show the effectiveness of the proposed system. The target performance of the sensor is as follows: (i) a detection range from 0 to ±100 Nm, (ii) a hysteresis error of less than 1%, (iii) an angular-dependent noise of less than 2%, and (iv) a sensor drift of less than 2%. From the evaluation results, it is clear that these performance targets, as well as a sufficient response time, are realized.

In Vitro Long-Term Performance Evaluation and Improvement in the Response Time of CMOS-Based Implantable Glucose Sensors

2016 ◽  
Vol 33 (4) ◽  
pp. 37-48 ◽  
Author(s):  
Takashi Tokuda ◽  
Toshikazu Kawamura ◽  
Keita Masuda ◽  
Tomohiro Hirai ◽  
Hironari Takehara ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Response Time ◽  
Glucose Sensors ◽  
Long Term Performance ◽  
Term Performance

Item Recognition as a Performance Evaluation Test for Environmental Research

1980 ◽  
Vol 24 (1) ◽  
pp. 340-343 ◽  
Author(s):  
Robert C. Carter ◽  
Robert S. Kennedy ◽  
Alvah C. Bittner ◽  
Michele Krause
Keyword(s):  
Performance Evaluation ◽  
Response Time ◽  
Human Memory ◽  
Item Recognition ◽  
Repeated Measurements ◽  
Environmental Research ◽  
The Novel ◽  
Novel Environment ◽  
Evaluation Test ◽  
Fourth Session

Item Recognition (Sternberg, 1966) is a task which reflects the operation of human memory. This task was considered as a candidate for use in a battery of Performance Evaluation Tests for Environmental Research (PETER). Environmental research involves comparison of performances in a baseline environment and in a novel environment. It is desirable that scores be stable at different occasions in the baseline environment, so that changes due to the novel environment will be clear if they occur. It was found that item recognition results were similar to those obtained by other investigations, although the traditional item recognition score (slope) was unreliable across repeated measurements. The response time (RT) was stable for each of the four memory set sizes (1, 2, 3 & 4 items), from the standpoint of reliability, after the fourth session.

Tools and Methods for Performance Evaluation of RDBMS Applications

1994 ◽  
Author(s):  
Béatrice Rumpler ◽  
Mario Polo ◽  
Benjamin Razafimandimby
Keyword(s):  
Operating System ◽  
Performance Evaluation ◽  
Data Analysis ◽  
Expert System ◽  
Response Time ◽  
Second Step ◽  
Measurement Tools ◽  
Influent Factors ◽  
The Impact ◽  
Tools And Methods

Abstract The goal of our research is to predict performance of applications using ORACLE RDBMS and then to propose tools to optimize performance. The performance we are interesting in, is the performance as perceived by users. We then specially study user’s transactions response time. Our method is based on measurement, and the first step was to measure performance on existing applications using ORACLE RDBMS. We have developed several software tools: - user simulator - application generator - workload application generator - measurement tools to measure user transactions response time and system activity during a transaction execution. The second step consisted in data collection and data analysis of measures. The data analysis, based on statistic methods, has permitted to extract the most influent factors and to understand how they can enhance applications performance (Rumpler and Polo, 1993). We are now able to present the most part of these results. The last step will consist in building the rules of an expert system for configuration and tuning assistance of ORACLE RDBMS applications. We also analyse the impact of operating system (UNIX) parameters on performance, and these information will complete our expert system possibilities. The present paper will describe precisely this research with tools developed, methods used, and results.

Model-Driven Performance Evaluation of Web Application Portals

2011 ◽  
pp. 407-437
Author(s):  
Nilabja Roy ◽  
Douglas C. Schmidt
Keyword(s):  
Performance Evaluation ◽  
Performance Analysis ◽  
Software Development ◽  
Response Time ◽  
Web Application ◽  
Time Of Day ◽  
Requirement Analysis ◽  
Model Driven ◽  
Expected Performance ◽  
Performance Response

Web application portals cater to various types of concurrent users and requests. The number of requests varies by time of day and day of week. Despite the variation in workload, it is important to provide the expected performance (response time) to users of these applications. To assure an appropriate level of performance, web application portals should be analyzed and evaluated throughout their software development lifecycles. Model Driven Architecture (MDA) provides a structured process for developing and analyzing web application portals from the requirement analysis to the ultimate deployment. This chapter examines recent advances in performance analysis methods for web application portals and shows how they can be integrated with MDA methods to analyze performance analysis throughout their software development lifecycles.

Sign in / Sign up

Export Citation Format

Share Document