Autonomic self-optimization according to business objectives

S. Aiber, Dagan Gilat, Ariel Landau, N. Razinkov, Aviad Sela, S. Wasserkrug
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引用次数: 97

Abstract

A central challenge in the runtime management of computing environments is the necessity to keep these environments continuously optimized. In this paper we introduce a new paradigm, which focuses on self-optimization according to high-level business objectives such as maximizing revenues. It replaces the more traditional optimizations that are based upon IT measures such as resource availability. A general, autonomous process is defined to enable such optimizations, and a set of technologies and methodologies is introduced to support the implementation of such a process. The paper concludes with two types of validation tests carried out on an eCommerce site, that demonstrate the value and applicability of this approach.
根据业务目标自主自我优化
计算环境的运行时管理中的一个核心挑战是必须保持这些环境不断优化。在本文中,我们引入了一种新的范式,它侧重于根据高级业务目标(如最大化收入)进行自我优化。它取代了基于It度量(如资源可用性)的更传统的优化。定义了一个通用的、自治的流程来实现这样的优化,并引入了一组技术和方法来支持实现这样的流程。本文最后在一个电子商务网站上进行了两种类型的验证测试,证明了这种方法的价值和适用性。
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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