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[ "刘炜,女,广西大学计算机与电子信息学院硕士研究生,主要研究方向为云计算、工作流技术。" ]
[ "李陶深,男,博士,广西大学计算机与电子信息学院教授,主要研究方向为云计算、分布式数据库、无线mesh 网络、网络与信息安全。" ]
[ "黄汝维,女,博士,广西大学计算机与电子信息学院副教授,主要研究方向为云计算、信息安全。" ]
网络出版日期:2013-12,
纸质出版日期:2013-12-20
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刘炜, 李陶深, 黄汝维. 截止期限约束的实例密集型云服务流调度算法[J]. 电信科学, 2013,29(12):87-91.
Wei Liu, Taoshen Li, Ruwei Huang. A Deadline-Constrained Scheduling Algorithm for Intensive-Instance Serviceflows in Cloud Environment[J]. Telecommunications science, 2013, 29(12): 87-91.
刘炜, 李陶深, 黄汝维. 截止期限约束的实例密集型云服务流调度算法[J]. 电信科学, 2013,29(12):87-91. DOI: 10.3969/j.issn.1000-0801.2013.12.014.
Wei Liu, Taoshen Li, Ruwei Huang. A Deadline-Constrained Scheduling Algorithm for Intensive-Instance Serviceflows in Cloud Environment[J]. Telecommunications science, 2013, 29(12): 87-91. DOI: 10.3969/j.issn.1000-0801.2013.12.014.
针对商业云计算中存在大量实例密集型服务流的问题,提出一种新的云环境下两阶段服务流调度算法。该算法先将用户自定义的全局截止期限分配到系统中的每个实例,再将每个实例的截止期限分配到实例中的每个任务中,最后在服务流执行阶段,动态调整后续任务的截止期限,解决了任务可能存在的未能在其截止期限内完成的时间异常问题。CloudSim仿真结果表明,与现有的算法相比,该算法能满足用户定义的截止期限,节约了执行成本,并减少了资源的竞争率,提高了调度的成功率。
The problem that there are many intensive-instance serviceflows in business cloud computing environment was aimed to solved
so a new two-phase serviceflows scheduling algorithm was proposed. In the first phase
the global deadline to each instance was assigned
and then the deadline to the each task of instances was assigned. In the serviceflows execution phase
in order to solve the possible problem of time exception which task was not meet its sub-deadline
the algorithm adjusted deadlines of subsequent task dynamically. The experimental results in CloudSim show that the algorithm compared with others algorithm saves the execution cost with meeting the user-defined deadline
avoids the fierce competition of cheaper services and improves the success ratio of the scheduling.
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