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Enhancement of Efficiency of Military Cloud Computing using Lanchester Model

机译:使用Lanchester模型提高军事云计算效率

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Cloud computing is a technology that uses centrally processed computing resources over the Internet by a large number of users. Because many requests are concentrated on cloud servers, they must be properly distributed to avoid degradation of quality. Load balancing categorizes requests from users according to established algorithms and assigns appropriate virtual machines. Because load balancing algorithms are developed according to the cloud's usage environment, various algorithms are being utilized. Recently, government agencies are also interested in introducing cloud technologies beyond private sectors. Many militaries have selected Cloud as its basic task to apply new technologies such as AI to military operations. However, there is no precedent for military cloud development, and the lack of doud technology research considering the operational environment has delayed the progress of cloud adoption. The algorithm presented by this paper makes the combat power, which varies according to the importance of the operation, an important variable. This variable makes each user's access to computing resources different. Although similar to other dynamic algorithms, the impact of priorities is so big that the degree of imbalance between tasks was higher.
机译:云计算是一种技术,通过大量用户使用Internet上集中处理的计算资源。由于许多请求集中在云服务器上,因此必须正确分发它们以避免质量退化。负载平衡根据已建立的算法对用户进行分类,并分配适当的虚拟机。由于根据云的使用环境开发了负载平衡算法,因此正在使用各种算法。最近,政府机构也有兴趣引入超越私营部门的云技术。许多军国主义都选择了云作为其基本任务,以应用新技术,如军事行动。但是,考虑运营环境的缺乏Doud技术研究没有先例,缺乏Doud技术研究推迟了云采用的进展。本文提出的算法使战斗力变化,这是根据操作的重要性,这是一个重要的变量。此变量使每个用户对计算资源的访问不同。虽然类似于其他动态算法,但优先级的影响如此之大,即任务之间的不平衡程度更高。

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