Multi-period resource allocation at system edges - capacity management in a multi-provider multi-service Internet

O. Heckmann, J. Schmitt, R. Steinmetz
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引用次数: 9

Abstract

Providing guaranteed QoS necessarily requires allocation of scarce resources. It is conceivable that at least at system edges scarcity of resources, exposed in the form of non-negligible (virtual) costs, will prevail to necessitate explicit allocation of resources as opposed to pure over-dimensioning. An example of this logic is constituted by the Differentiated Services (DiffServ) architecture. Often such resource allocation decisions are done on a multi-period basis because resource allocation decisions at a certain point in time may depend on earlier decisions and thus it can turn out sub-optimal to look at decisions in an isolated fashion. Therefore, we investigate a fairly large and diverse set of (network) QoS problems all of which deal with the problem of multi-period resource allocation at system edges. We devise a taxonomy for the classification of these problems and introduce a common mathematical framework under which these problems can be tackled. The ultimate goal of our work is to strive for solution techniques towards the generalized class of problems such that these are applicable in a number of scenarios which have so far not been regarded in an integrated fashion.
系统边缘的多周期资源分配——多提供商多业务互联网中的容量管理
提供有保证的QoS必然需要分配稀缺的资源。可以想象,至少在系统边缘,资源的稀缺性,以不可忽略的(虚拟)成本的形式暴露出来,将普遍需要明确的资源分配,而不是纯粹的过度维度。这种逻辑的一个例子是由差异化服务(DiffServ)架构构成的。通常,这样的资源分配决策是在多时期的基础上完成的,因为在某个时间点上的资源分配决策可能依赖于早期的决策,因此以孤立的方式看待决策可能是次优的。因此,我们研究了一组相当大且多样化的(网络)QoS问题,所有这些问题都处理系统边缘的多周期资源分配问题。我们为这些问题的分类设计了一个分类法,并引入了一个通用的数学框架,在这个框架下,这些问题可以被解决。我们工作的最终目标是为解决一般化的问题而努力,使这些问题适用于到目前为止尚未以集成方式考虑的许多场景。
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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