Policy-based Autonomic Management in Data Centers

随着数据中心和系统增长、变得更加异构、支持日益多样化的应用和计算环境，系统管理员在管理系统和应用以满足操作要求方面面临着令人生畏的挑战，例如，如在服务水平协议（SLA）中所体现的。伴随着这些挑战，数据中心运营商面临着计算和环境系统的电力成本增加以及环境立法增加。因此，运营商必须尝试优化几个相互竞争的目标：最大限度地降低功耗，减少排放/碳足迹，管理热输出，满足性能和可用性限制，确保安全性等。解决这些挑战是多方面的，需要：新颖的硬件方法，改进的软件，保护策略，以及提高数据中心管理的自动化程度。

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.