教育平台内复杂计算机过程服务方式分析(www.comunicare.ro)

A. Gaitanaru
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引用次数: 0

摘要

随着时间的推移,越来越多没有技术知识或技能的人可以访问和使用信息通信技术。与此同时,仪器的复杂性也大大增加了。现在,获取和使用技术的人不仅是IT专家,还包括教育内容创作者、管理人员、教师、讲师和学生。这些快速的变化往往留下了那些未能适应和妥善记录的人。信息的缺乏和对未知的恐惧往往造成对在教育中使用信息和通信技术的困惑和敌意。在多个系统上运行的进程随时间而变化。由于这个原因,不存在可用于确定性建模的静态流程集(和时间间隔)。但是,可以确定CPU分布和网格生成的突发。这些分布可以测量,然后进行近似或估计[1]。结果是描述事件发生可能性的数学公式,例如系统处于稳定状态的概率。通常分布是指数型的泊松型,用其平均值来描述。同样,必须提供到达系统的进程的时间。从这两个分布中,可以使用排队网络分析计算出生产率、使用率和等待时间的平均值。当作业可以从任意节点进入或离开网络时,排队网络称为开放网络[2]。如果作业不能离开或进入网络,则称为关闭,并且网络上的作业数量保持不变。因此,每次旧作业离开系统都会接纳新作业的网络可以认为是封闭网络[3]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ANALYSIS OF THE WAY OF SERVICE IN A COMPLEX COMPUTER PROCESS WITHIN AN EDUCATIONAL PLATFORM (WWW.COMUNICARE.RO)
With the passage of time, ICT has become accessible and used by more and more individuals without technical knowledge or skills. At the same time, the complexity of the instruments has grown enormously. Now those who acquire and use technology are not just IT specialists but also educational content creators, managers, teachers, instructors and students. These rapid changes have often left behind those who have failed to adapt and document properly. Lack of information and fear of the unknown often creates confusion and hostility towards the use of ICT in education. Processes running on multiple systems vary over time. For this reason, there is no static set of processes (and time intervals) that can be used for deterministic modelling. However, the CPU distribution and grid-generated bursts can be determined. These distributions can be measured and then approximated or estimated [1]. The results are mathematical formulas that describe the likelihood of occurrence of an event, for example the probability of the system being in a stable state. Usually the distribution is exponential, Poisson type, and is described by its average value. Similarly, the timing of the processes arriving in the system must be provided. From these two distributions the average values of productivity, usage, waiting time can be calculated using queuing networks analysis. Queuing networks are called open when the jobs can enter or leave the network by any node [2]. If the jobs cannot leave or enter the network, it is called closed, and the number of jobs on the network remains constant. Therefore, a network where a new job is admitted every time an old job leaves the system can be considered a closed network [3].
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