云环境下药物分子对接动态任务迁移的应用

基于传统动态任务迁移方法，针对药物分子对接任务，提出了云环境下药物分子对接任务优化迁移策略。通过分析各节点自身中断事件发生次数的数学期望和方差，得出即时可靠性评价参数，从而选取最可靠的节点作为迁移目标。在源节点与可靠的目标节点之间实施增量数据预迁移，缩短了停机拷贝时间。最后的实例表明任务迁移策略能够在云环境下选择可靠目标节点，药物分子对接安全性得到了提高。...

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Bibliographic Details
Published in计算机应用研究 Vol. 33; no. 1; pp. 153 - 155
Main Author 董悦丽 郭权 孙斌 李正夫
Format Journal Article
LanguageChinese
Published 大连东软信息学院,辽宁 大连,116023 2016
Subjects
云计算
任务迁移
分子对接
计算节点
computing nodes
计算节点
cloud computing
molecule docking
分子对接
task migration
云计算
任务迁移
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ISSN1001-3695
DOI10.3969/j.issn.1001-3695.2016.01.035

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Summary:基于传统动态任务迁移方法，针对药物分子对接任务，提出了云环境下药物分子对接任务优化迁移策略。通过分析各节点自身中断事件发生次数的数学期望和方差，得出即时可靠性评价参数，从而选取最可靠的节点作为迁移目标。在源节点与可靠的目标节点之间实施增量数据预迁移，缩短了停机拷贝时间。最后的实例表明任务迁移策略能够在云环境下选择可靠目标节点，药物分子对接安全性得到了提高。
Bibliography:51-1196/TP
This paper presented an optimizing strategy of dynamic task migration based on traditional dynamic task migration method for molecular docking in a cloud environment. The most reliable node would be chosen through the coefficient of varia- tion of reliability, which obtained by analyzing the mean and variance of the number of the node＇ s own sequential jobs. It car- ried out an incremental data migration from the source node to a high reliable target node, and shortened the time of downtime copy. The results of example show that the reliable target node can be chosen by the strategy of dynamic task migration and im- prove the security of molecular docking.
cloud computing; task migration; molecule docking; computing nodes
Dong Yueli, Guo Quan, Sun Bin, Li Zhengfu （ Dalian Neusofi University of Information, Dalian Liaoning 116023, China）
ISSN:1001-3695
DOI:10.3969/j.issn.1001-3695.2016.01.035