CAJ | 학술논문

云计算是当前计算机领域研究的热点，其中云任务调度算法性能的好坏直接影响到云计算平台的整体性能。为了满足云计算平台庞大用户群的不同服务需求，针对现有的云计算任务调度算法提出一种双适应度遗传退火任务调度算法(DFG2A)，基于该任务调度算法的任务调度策略能够有效平衡用户对任务各项属性的需求，提高云计算平台的用户满意度。实验结果证明了该算法能兼顾云计算平台总任务执行时间和用户需求，是云计算环境下一种有效的任务调度算法。
운계산시당전계산궤영역연구적열점，기중운임무조도산법성능적호배직접영향도운계산평태적정체성능。위료만족운계산평태방대용호군적불동복무수구，침대현유적운계산임무조도산법제출일충쌍괄응도유전퇴화임무조도산법(DFG2A)，기우해임무조도산법적임무조도책략능구유효평형용호대임무각항속성적수구，제고운계산평태적용호만의도。실험결과증명료해산법능겸고운계산평태총임무집행시간화용호수구，시운계산배경하일충유효적임무조도산법。
Cloud computing is a hot spot in computer research field, in which the performance of task scheduling algorithm directly affects total performance of cloud computing systems. For satisfying users’ different service requirements, a dual fitness genetic annealing algorithm (DFG2A) is presented. Task scheduling scheme based on this algorithm can balance different attribute requirements for each task, and improve customer satisfaction index of platform. The simulation results show that DFG2A can achieve a balance between task running time and user requirements.