An Analysis of a Web Service based Approach for Experimental Data Sharing

Abstract

<span lang="EN-US">This paper presents the results obtained from a comparative analysis of two methods for experimental data sharing. </span><span>Several </span><span lang="EN-US">works</span><span> related to the </span><span lang="EN-US">topic</span><span> and some </span><span lang="EN-US">approaches</span><span> for </span><span lang="EN-US">processing data</span><span> have been discussed. Different </span><span lang="EN-US">technolgoies related to the web services</span><span>, ways of using them and the areas of their application are analyzed. For the purposes of the study, a </span><span lang="EN-US">web service</span><span> for </span><span lang="EN-US">retrieving </span><span>specific data</span><span lang="EN-US"> from a behavioral experiments database</span><span> was de</span><span lang="EN-US">veloped</span><span>.</span><span>The methodology and conditions for conducting </span><span lang="EN-US">the </span><span>experiments are described. T</span><span lang="EN-US">wo</span><span> different indicators </span><span lang="EN-US">a</span><span>re analyzed, respectively: </span><span lang="EN-US">time to retrieve the data from a database </span><span>and iteration time across all records through one </span><span lang="EN-US">loop</span><span>. The results show that when </span><span lang="EN-US">retrieving</span><span> thousands of records both </span><span lang="EN-US">web service based approach</span><span> and an approach based on a remote database</span><span lang="EN-US"> server can be used. However, when retrieving millions of records</span><span>, </span><span lang="EN-US">the fastest approach was the one that uses remote database server</span><span>.</span><span> <span lang="EN-US">T</span></span><span>he obtained</span><span>results</span><span>show that </span><span lang="EN-US">the </span><span>dynamic arrays</span><span lang="EN-US"> (containing strings) </span><span>iterated much faster </span><span lang="EN-US">across all data records </span><span>than </span><span lang="EN-US">the dataset </span><span>approach.</span>