云数据中心服务分层管理的分解方法

E. Zharikov, O. Rolik, S. Telenyk
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引用次数: 1

摘要

云数据中心分层管理体系内集中管理和分布式管理相结合,保证了系统的可扩展性和全局状态的确定。作者通过将云数据中心分解为基础设施、平台和应用层来应用层次理论,每个层都由可以单独管理的过程组成,同时考虑到不同的目标。针对云数据中心等复杂对象,提出了多层分层管理系统的体系结构。提出的体系结构将传统的资源管理技术与分层模型的更高层上的模板和配置管理相结合。它允许以最小化成本和最小化服务质量参数与给定参数的偏差为标准来控制云数据中心的信息服务。该模型还可以通过所提供的服务质量、使用数据中心资源的成本和违反SLA的惩罚成本来评估服务管理的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Decomposition Approach to Hierarchical Management of Cloud Data Center Services
Combining centralized and distributed management within hierarchical management system of cloud data center allows to ensure the scalability and to determine the global system state. The authors apply the hierarchy theory by decomposing a cloud data center into an infrastructure, a platform and application layers each consisted of processes that can be managed separately while taking into account different objectives. The authors propose the architecture of a multilayer hierarchical management system for the complex object such as cloud data center. The proposed architecture combines traditional resource management techniques with templates and configuration management on higher layers of the hierarchical model. It allows controlling information services of a cloud data center on the criterion of minimizing costs and minimizing the deviation of the quality of service parameters from the given ones. The proposed model can also be used to assess the effectiveness of the service management by the quality of provided services, by the cost of using data center resources and by the cost of SLA violation penalty.
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