A MapReduce system gradually becomes an essential technology to achieve the large scale computing on cloud computing. A MapReduce system currently is designed to distribute tasks over nodes in a cloud according to manual configurations of slot numbers in nodes. However, a MapReduce system may have the performance degradation due to the inappropriate configuration of the slot number, because the slot number can not exactly reflect the performance of the node. A MapReduce system can utilize the Automatic Self-Suspended Task (ASST) proposed in this paper to alleviate the performance degradation due to the inappropriate configuration of the slot number in a node on cloud computing. In experiments of this paper, a MapReduce system is proved to have a better per- formance with the help of ASST for various applications on cloud computing.
['Tzu-Chi Huang', 'Ce-Kuen Shieh', 'Sheng-Wei Huang', 'Chui-Ming Chiu', 'Tyng-Yeu Liang']
Automatic Self-Suspended Task for a MapReduce System on Cloud Computing