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In this work, the proposed Intelligent Indoor Environment Monitoring System in Cloud (iDEMS) combines environmental sensors with ZigBee wireless sensor network technology to store and process environmental data in HBase. The environmental data collected by sensors will be stored and processed in the cloud using HBase, which supports storing large amounts of data, free to easily increase storage space...
Along with the improvement of sanitary conditions and changes of life style, people begin to pay attention to the modern concept of health promotion and preventive medicine. Therefore, we built an intelligent environment monitoring feedback system to collect data of physical conditions of employees and air conditions of the working environment, displayed the collected data with a real time interface,...
In this work, we make utilization of users' computers involved in this distributed storage system easily, and share their powerful resources with this P2P environment. Users can download the files from this P2P distributed storage system. To transfer more efficiently, this paper also proposes a parallel transfer algorithm for every node and replication mechanism. The experiment results have shown...
Data grids are a very important and useful technique for solving problems created by the large amounts of data scientific experiments and simulations produce. Data replication, a technique much discussed by data grid researchers in past years, creates multiple copies of files and stores them in convenient locations to shorten file access times. In this paper, we propose a dynamic replication maintenance...
Effective data distribution techniques can significantly reduce the total execution time of a program on grid computing environments, especially for data mining applications. In this paper, we describe a linear programming formulation for the data distribution problem on grids. Furthermore, a heuristic method, named HDDS (heuristic data distribution scheme), is proposed to solve this problem. We implement...
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