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文章摘要
基于云计算的电力任务调度优化策略研究
Research on Optimization Strategy of power task scheduling based on Cloud Computing
Received:February 27, 2020  Revised:March 10, 2020
DOI：10.19753/j.issn1001-1390.2020.13.006
中文关键词: 云计算  调度策略  高效处理  电力数据  负载均衡
英文关键词: 
基金项目:
Author NameAffiliationE-mail
liangliang* Information?and?Communication?Branch?State?Grid?Jiangxi?Electric?Power?Co.,?Ltd chenjiangxi@163.com 
chenjiangxin Information?and?Communication?Branch?State?Grid?Jiangxi?Electric?Power?Co.,?Ltd chenjiangxi@163.com 
fujunfeng Information?and?Communication?Branch?State?Grid?Jiangxi?Electric?Power?Co.,?Ltd chenjiangxi@163.com 
caizhimin Information?and?Communication?Branch?State?Grid?Jiangxi?Electric?Power?Co.,?Ltd chenjiangxi@163.com 
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中文摘要:
      针对大量电力数据处理时，现有的电力数据中心效率低下，无法满足电力用户的多服务需求。文中在云计算架构的基础上，对电力任务调度优化策略进行了研究，提出了自适应粒子群蚁群优化算法用于云计算任务调度的策略。为了验证算法的准确性和有效性，通过仿真工具对各种云计算环境中的调度场景进行构建，将自适应粒子群蚁群算法任务调度与粒子群蚁群和蚁群算法的任务调度进行比较。结果表明，该方法可以有效地处理各种规模的数据集，在减少执行时间和负载均衡方面具有明显的优势。该研究为我国建立综合电力信息一体化平台提供参考和借鉴。
英文摘要:
      
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