توضیحات
Data centers are critical, energy-hungry infrastructures that run large-scale Internet-based services. Energy
consumption models are pivotal in designing and optimizing energy-efficient operations to curb excessive energy consumption in data centers. In this paper, we survey the state-of-the-art techniques used for energy consumption modeling and prediction for data centers and their components. We conduct an in-depth study of the existing literature on data center power modeling, covering more than 200 models.We organize these models in a hierarchical structure with two main branches focusing on hardware-centric and software-centric power models. Under hardware-centric approaches we start from the digital circuit level and move on to describe higher-level energy consumption models at the hardware component level, server level, data center level, and finally systems
of systems level. Under the software-centric approaches we investigate power models developed for operating systems, virtual machines and software applications. This systematic approach allows us to identifymultiple issues prevalent in powermodeling of different levels of data center systems, including: i) few modeling efforts targeted at power consumption of the entire data center ii) many state-of-the-art power models are based on a few CPU or server metrics, and iii) the effectiveness and accuracy of these powermodels remain open questions. Based on these observations,we conclude the survey by describing key challenges for future research on constructing effective and accurate data center power models
S:Persian Channel of IEEE ComSoc
Year:2016
By:Miyuru Dayarathna, YonggangWen, and Rui Fan
File Information :English Language/63 Page/Size:13.6 M
Download:click
منبع :Persian Channel of IEEE ComSoc
سال :2016
کاری از:Miyuru Dayarathna, YonggangWen, and Rui Fan
اطلاعات فایل :زبان انگلیسی/63 صفحه/حجم :13.6 M
لینک دانلود:روی همین لینک کلیک کنید
نقد و بررسیها
هنوز بررسیای ثبت نشده است.