Policy-based Autonomic Management in Data Centers

随着数据中心和系统的增长、变得更加异构化、支持日益多样化的应用程序和计算环境，系统管理员在管理系统和应用程序以满足运营要求(例如，体现在服务级别协议(SLA)中)方面面临着艰巨的挑战。与这些挑战相伴而来的是，数据中心运营商面临着计算和环境系统的电力成本不断增加以及环境立法不断增加的问题。因此，运营商必须努力优化几个相互竞争的目标：最大限度地降低功耗、减少排放/碳排放、管理热输出、满足性能和可用性限制、确保安全等。应对这些挑战是多方面的，需要：创新的硬件方法、改进的软件、保护策略和提高数据中心管理的自动化。

As data centers and systems grow, become more heterogeneous, support increasingly diverse applications and computing environments, system administrators face daunting challenges in managing the systems and applications in order to meet operational requirements, e.g., as embodied in service level agreements (SLAs). Concomitant with these challenges, data center operators face increasing costs of power for both computing and environmental systems as well as increasing environmental legislation. Consequently, operators must try to optimize several competing objectives: minimize power consumption, reduce emissions/carbon footprint, manage thermal output, meet performance and availability constraints, ensure security, etc. Addressing these challenges is multifaceted, requiring: novel hardware approaches, improved software, conservation strategies, and increased automation of data center management.