Recently, with the advent HTML5, the performance of Web service has improved. It was difficult to configure the web services using only HTML. However, communication between the client and the server is now possible because of HTML5. HTML5 was designed to be platform independent, and can be used on an increasing number of mobile devices for creating both mobile websites and mobile applications. It is frequently cited as the primary solution for enabling effective cross-platform deployment onto various smart devices. HTML5 has many new features. One of the most powerful features is the WebSocket. Updated HTML5 specifications for web sockets, web browsers, and web servers allow sending and receiving data in real time, via an always-on TCP connection. The crucial differences between pre-HTML5 communication methods and HTML5 WebSocket are located in the new HTML5 protocol. WebSocket protocol uses HTTP to establish a connection, but the subsequent communication is performed by the WebSocket reader protocol. In addition, the feature header is very small, resulting in reduced communication overhead. The WebSocket aims to solve the problems of the conventional communication method, though it has several restrictions. Therefore, in this study, experiments were conducted to measure the performance analysis of WebSocket. We conclude by presenting the direction of future research in this field.

Abstract. Because of the advent of smartphones and Internet development, large quantities of data are communicated indiscriminately, thereby generating rapid increases in data traffic. Particularly in the context of social commerce, with its enormous amounts of information, the user finds it difficult to locate information needed. Even for a company that provides this service, it can be difficult to ascertain the information that is needed by the user. Thus, other companies have arisen to provide the service of helping those companies extract the necessary information from the user data in order to meet the user's needs. In this paper, we describe an efficient method of collecting big data for use by users of customized advertising services.

One of the techniques that are most in the spotlight today, it can be said that Big data. With Big Data, technologies already prevalent in our lives is GPS. Based on the GPS data and Big Data, in this paper, we try to analyze the pattern and path of movement of a particular target. Specific target collects the GPS data by classifying weather and grade and sex of college students, and day of the week in college students of one university. The collected data is analyzed such as movement path, movement time, pattern of repetitive behavior. And visualize it. The analysis method will be classified according to the purpose of data. By identifying relationships with other data results obtained. Based on the present study, the future, we will derive the results of the data more reliable. For this purpose, a wide range of information to be collected will additionally. Research will be developed add to such as Season, time, blood type, occupation data.

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An app that users can conveniently use has been an explosive increase in the emergence of smart devices, including smart phones. However , the advent of various smart appliances operating systems , acting as an inhibitory factor to the development of the application . Accordingly, there has been a growing interest in HTML5 that can simultaneously support various platforms. HTML5 using the browser is used in the most innovative way of cross-platform. However, it does not show the complete compatibility for now. Depending on the browser of the environment, the difference between the initial load time of Web pages out. Therefore, to understand the cause of slowing down the browser-specific initial load time through the analysis of HTML5, JavaScript and CSS. Look for ways that can further improve the initial load rate.