Currently, The data placement of cloud storage environment encounters some problems. Based on analyzing the requests of upload files of users, we can dig out the relevance of files. For the purpose of increasing the efficiency of data access, we try to place the relevant files to the nodes that users or programs frequently use in the initial placement. To ensure load balancing, we select storage location in the set of nodes which corresponding its associated files list by using genetic algorithm. Simulations show that by using this pre-placement strategy in replica creation can not only greatly reduce the program execution time, but also relatively ensure a more load balancing of the system.
A partition scheduling system of central air-conditioning based on Wireless Local Area Network (WLAN) positioning is designed. The system can quickly update the personnel density of the partition by WLAN positioning algorithm, and obtain the actual load by integrating the temperature and humidity and the surrounding partition information. Therefore, the rotating speeds of the fans and water pumps of the air conditioning in this area are automatically adjusted, so as to realize the intelligent scheduling of the air conditioning in different areas based on personnel density. At the same time of regional differentiation, the overall cooperative operation can truly achieve the energy-saving effect of distribution on demand.
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