Attribute theory model based task scheduling algorithm on cloud

作者：Xie Xiaolan; Liu Ruikun; Hu Xin; Ni Jinsheng

来源：International Journal of Grid and Distributed Computing, 2016, 9(7): 111-120.

DOI：10.14257/ijgdc.2016.9.7.12

• Cloud services
• Computational model
• Internet services
• Scheduling performance
• Task-scheduling
• Task-scheduling algorithms
• Theory model
• User satisfaction

With the arrival of the era of big data, Cloud computing has become an indispensable computational model of Internet service. As an important means of managing cloud resources, Task scheduling algorithm in Cloud directly affects the success of cloud computing. In this paper, Attribute Theory model is introduced into the task scheduling algorithm in Cloud. We establish a logical judgment standard which can indicate the resources’Qos preference of users through Attribute Theory model. And it helps users make scheduling choice in the corresponding resource with higher user satisfaction and scheduling performance.

• 出版日期2016
• 单位桂林理工大学