Business scenarios for hierarchical workload management in data centers

A. Cuzzocrea, C. Napoli, Agostino Forestiero, D. Laganà, Giovanni Lupi, C. Mastroianni, L. Spataro
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Abstract

Increasing the efficiency of workload management in data centers is essential to achieve several business and technical goals, such as reduction of costs, energy consumption and carbon emissions. Many solutions are available for workload management in a single data center, but there is still much space for the development of frameworks that are able to manage the workload in a distributed scenario, with multiple sites and data centers. In this paper, we present the main benefits of hierarchical solutions, in which the problem is decomposed into two layers, a lower layer that focuses on the workload management within each single data center, and an upper layer that orchestrates the management of the workload on a multi-site environment. We focus on the main advantages of hierarchical approaches, i.e., autonomous management, scalability and modularity, and illustrate how and to which extent these advantages can be exploited in some emerging business scenarios, i.e., geographical data centers, software data centers and Hybrid Cloud.
用于数据中心分层工作负载管理的业务场景
提高数据中心工作负载管理的效率对于实现几个业务和技术目标至关重要,例如降低成本、能源消耗和碳排放。有许多解决方案可用于单个数据中心的工作负载管理,但是开发能够管理具有多个站点和数据中心的分布式场景中的工作负载的框架仍有很大的空间。在本文中,我们介绍了分层解决方案的主要优点,在分层解决方案中,问题被分解为两层,较低的一层侧重于每个单个数据中心内的工作负载管理,而上层则协调多站点环境中工作负载的管理。我们将重点关注分层方法的主要优势,即自治管理、可伸缩性和模块化,并说明如何以及在哪些程度上可以在一些新兴业务场景中利用这些优势,即地理数据中心、软件数据中心和混合云。
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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