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Task scheduling and virtual machine allocation policy in cloud computing environment

Journal of Systems Engineering and Electronics 2015年第4期26卷 847-856页

作者： Xiong Fu yeliang cang School of Computer Science and Technology Nanjing University of Posts and Telecommunications

Cloud computing represents a novel computing model in the contemporary technology world. In a cloud system, the com- puting power of virtual machines （VMs） and network status can greatly affect the completion time of data intensive tasks. How- ever, most of the current resource allocation policies focus only on network conditions and physical hosts. And the computing power of VMs is largely ignored. This paper proposes a comprehensive resource allocation policy which consists of a data intensive task scheduling algorithm that takes account of computing power of VMs and a VM allocation policy that considers bandwidth between storage nodes and hosts. The VM allocation policy includes VM placement and VM migration algorithms. Related simulations show that the proposed algorithms can greatly reduce the task comple- tion time and keep good load balance of physical hosts at the same time.

关键词： cloud computing resource allocation task scheduling,virtual machine (VM) allocation.

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Deadline based scheduling for data-intensive applications in clouds

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The Journal of China Universities of Posts and Telecommunications 2016年第6期23卷 8-15页

作者： Fu Xiong cang yeliang Zhu Lipeng Hu Bin Deng Song Wang Dong School of Computer Science and Technology Nanjing University of Posts and Telecommunications Nanjing 210023 China Global Energy Interconnection Research Institute Beijing 102209 China Institute of Advanced Technology Nanjing University of Posts and Telecommunications Nanjing 210023 China State Grid Nantong Power Supply Company Nantong 226001 China

Cloud computing emerges as a new computing pattern that can provide elastic services for any users around the world. It provides good chances to solve large scale scientific problems with fewer efforts. Application deployment remains an important issue in clouds. Appropriate scheduling mechanisms can shorten the total completion time of an application and therefore improve the quality of service（QoS） for cloud users. Unlike current scheduling algorithms which mostly focus on single task allocation, we propose a deadline based scheduling approach for data-intensive applications in clouds. It does not simply consider the total completion time of an application as the sum of all its subtasks＇ completion time. Not only the computation capacity of virtual machine（VM） is considered, but also the communication delay and data access latencies are taken into account. Simulations show that our proposed approach has a decided advantage over the two other algorithms.

关键词： virtual machine placement cloud computing data intensive deadline based

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