期刊名称:International Journal of Grid and Distributed Computing
印刷版ISSN:2005-4262
出版年度:2015
卷号:8
期号:2
页码:15-24
DOI:10.14257/ijgdc.2015.8.2.03
出版社:SERSC
摘要:Currently, the combined push-pull model is usually applied in the resource monitoring under cloud computing environment. However, the quantity of data gathered by the producers is much less than those received by the monitor so that a lot of resource is wasted. In order to maintain the data consistency of real time system, an improved adaptive algorithm based on combined push-pull model is proposed. The adaptive strategy is added on the producers that aims to predict when refreshes data came from the monitor using the history data. Experimental result shows that the algorithm can decrease the resource consumption while exchanging data effectively.