Name
Abstract | ||
|---|---|---|
For a B/S based e-government system, system performance is one of the metrics for evaluating the system, which determines user experience and even affects the image of the government in public. To improve the performance of the e-government system, people should pay attention not only on the process of system design (like web design) and system deployment (like using powerful web server), but also on the way of accessing data. This paper proposes a method of measuring performance from the user perspective, so as to evaluate the data access performance of the e-government system. It measures the response time of loading a page with different methods of data access, in which data are accessed by using the traditional SQL statements, view, and temporary table methods. Experiment results show that there is no significant difference in terms of performance between the traditional SQL statement method and the view method, and the method of using temporary table with any amount of data achieves better performance than the other two methods. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/GreenCom-iThings-CPSCom.2013.396 | GreenCom/iThings/CPScom |
Keywords | Field | DocType |
e-government system,data access,accessing data,view method,temporary table methods,improving performance,data access performance,information retrieval,public government,system performance,sql statements,b/s based e-government system,system deployment,system evaluation metrics,better performance,user perspective,different method,performance measurement,system design,e-government system performance,user experience,page loading,temporary table method,web performance,government data processing,sql | SQL,Web performance,Web design,User experience design,System deployment,Computer science,Systems design,Data access,Database,Web server | Conference |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hang Zhang | 1 | 98 | 21.59 |
| Sifa Zhang | 2 | 11 | 1.96 |
| Muzhou Xiong | 3 | 142 | 14.90 |
| Shanyu Tang | 4 | 213 | 17.47 |