Understanding and Abstracting Total Data Center Power
نویسندگان
چکیده
The alarming growth of data center power consumption has led to a surge in research activity on data center energy efficiency. Though myriad, most existing energy-efficiency efforts focus narrowly on a single data center subsystem. Sophisticated power management increases dynamic power ranges and can lead to complex interactions among IT, power, and cooling systems. However, reasoning about total data center power is difficult because of the diversity and complexity of this infrastructure. In this paper, we develop an analytic framework for modeling total data center power. We collect power models from a variety of sources for each critical data center component. These component-wise models are suitable for integration into a detailed data center simulator that tracks subsystem utilization and interaction at fine granularity. We outline the design for such a simulator. Furthermore, to provide insight into average data center behavior and enable rapid back-of-theenvelope reasoning, we develop abstract models that replace key simulation steps with simple parametric models. To our knowledge, our effort is the first attempt at a comprehensive framework for modeling total data center power.
منابع مشابه
Explain the understanding and experience of people in the community of stigma in the face of corona disease
Background & Aim: One of the most important aspects of corona disease is the psychological and social spheres. Fear and worry about this disease can lead to social stigma towards people, and even their places of residence. This study was designed to explain the perception and experience of community members of social stigma in the face of coronary heart disease. Methods: This qualitative study...
متن کاملEntwicklung einer auslastungsabhängigen Energieeffzienzmetrik für Rechenzentren
Data centers' total operational expenditures (OpEx) are rising due to the need for data center extensions caused by the increasing data center service usage as well as continuously growing data volumes. In order to save energy costs, which represent a signi cant share of the OpEx, the data center operator's focus is shifting towards energy e ciency improvements. However, before optimizations ca...
متن کاملConsolidation of underutilized virtual machines to reduce total power usage
Data centers (DC) have become one of the biggest markets with new challenges and opportunities in the past decade. Many big companies are owners of DCs providing services and cloud solutions. With this increasing demand and interest in cloud service, thousands of virtual machines (VM) are being instantiated to run a variety of services in a data center. Beside the benefit of service provisionin...
متن کاملUnderstanding the robustness of SSDS under power fault
Modern storage technology (SSDs, No-SQL databases, commoditized RAID hardware, etc.) bring new reliability challenges to the already complicated storage stack. Among other things, the behavior of these new components during power faults—which happen relatively frequently in data centers—is an important yet mostly ignored issue in this dependability-critical area. Understanding how new storage c...
متن کاملExergetic, Exergoeconomic and Exergoenvironmental Multi-Objective Genetic Algorithm Optimization of Qeshm Power and Water Cogeneration Plant
In this study, optimization of Qeshm power and water desalting cogeneration plant has been investigated. The objective functions are related to maximizing exergetic efficiency and minimization of exergoeconomic and exergoenvironmental parameters. Also, the integration of RO desalination with the existing plant has been evaluated based on these analyses. This plant includes two MAPNA 25 MW gas t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2009