Data Placement Strategy for Hadoop Clusters

Wireless technology has become very widely used; and an array of security measures, such as authentication, confidentiality strategies, and 802.11 wireless communication protocol based security schemas have been proposed and applied to real-time wireless networks. However, most of the measures only consider security issues in static mode, in which security levels are all configured when wireless network systems are built. In real-time applications such as a stock quoting and trading system, users may need flexible quality of security that can be, e.g. measured in security levels. For example, the data of a current stock’s price may require higher security than the data of the same stock ten years earlier. Thus flexible security mechanisms for real time applications transmitting packets through wireless networks would be highly desirable. In this paper, we propose a novel security-aware packet scheduling strategy for a real time wireless link where the wireless networks can dynamically set security levels according to different user requests.