Multi-Criteria Optimization in the Design of High-Load Systems

Yaroslav Tupalo
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Abstract

The current stage of development of science and technology is characterized by a significant complication of the tasks. The development of the economy to produce a situation where the development, implementation and operation of complex technical and socio-technical systems have to be in conditions of fierce competition. This is necessary to reduce the time of development and implementation of new technologies, especially in high-load systems. Highly loaded systems are, by and large, the same websites, only with a very large audience, and as a consequence with a large load, which requires an optimized server part of the site. A qualitative characteristic for a highly loaded system is the bandwidth of this system, it describes the amount of work that must be able to perform the system per unit time. The development of highly loaded systems is time consuming and poorly formalized. Since the production of high-load systems is one of the most dynamically developing areas in the field of information technology, which is demonstrated by a significant annual increase in volumes. In the practical task of decision-making, there is often a situation where you cannot limit yourself to considering a single criterion for choosing a decision. An attempt at mathematical formalization of such problems has led to the creation of the Theory of Multicriteria Optimization, which is used in the development of methods, intended for support of decision makers, in the presence of several criteria. The steps for construction of algorithm of multicriteria optimization in designing of highly loaded systems, carries out search of solutions of a maximum in a multicriteria problem are resulted. The algorithm was based on the descent method in Simplex problems. Simplex method - an algorithm for solving the optimization problem of linear programming by searching the vertices of a convex polyhedron in multidimensional space. Multicriteria optimization is based on finding solutions in problems with a large number of options. Now the type of tasks is very resource-intensive and is calculated using computers. Keywords: high-load data systems, high-load computing system.
高负荷系统设计中的多准则优化
当前科学技术发展阶段的特点是任务十分复杂。经济的发展使复杂技术和社会技术系统的发展、实施和操作必须处于激烈竞争的条件下。这对于减少新技术的开发和实施时间是必要的,特别是在高负载系统中。总体而言,高负载的系统是相同的网站,只是用户非常多,因此负载很大,这需要优化站点的服务器部分。高负载系统的一个定性特征是该系统的带宽,它描述了单位时间内系统必须能够完成的工作量。高负载系统的开发既耗时又缺乏形式化。由于高负荷系统的生产是信息技术领域中最具活力的发展领域之一,其数量每年都在显著增加。在决策的实际任务中,经常有这样一种情况,你不能限制自己考虑选择决策的单一标准。对这些问题进行数学形式化的尝试导致了多标准优化理论的创建,该理论用于开发方法,旨在支持决策者,在存在几个标准的情况下。给出了高负荷系统设计中多准则优化算法的构建步骤,以及多准则问题中最大值解的搜索。该算法基于单纯形问题的下降法。单纯形法-一种通过在多维空间中搜索凸多面体的顶点来解决线性规划优化问题的算法。多准则优化是基于在具有大量选项的问题中寻找解决方案。现在的任务类型是非常资源密集的,并使用计算机计算。关键词:高负荷数据系统,高负荷计算系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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