EHEFT-R: multi-objective task scheduling scheme in cloud computing

摘要

In cloud computing, task scheduling and resource allocation are the two core issues of the IaaS layer. Efficient task scheduling algorithm can improve the matching efficiency between tasks and resources. In this paper, an enhanced heterogeneous earliest finish time based on rule (EHEFT-R) task scheduling algorithm is proposed to optimize task execution efficiency, quality of service (QoS) and energy consumption. In EHEFT-R, ordering rules based on priority constraints are used to optimize the quality of the initial solution, and the enhanced heterogeneous earliest finish time (HEFT) algorithm is used to ensure the global performance of the solution space. Simulation experiments verify the effectiveness and superiority of EHEFT-R.

Zaixing Sun

博士研究生

我目前在哈尔滨工业大学（深圳）攻读计算机科学与技术博士学位。我还曾是新西兰惠灵顿维多利亚大学进化计算研究小组的访问学生。我的研究兴趣包括云计算、智能优化和调度。