Coordinating Liquid and Free Air Cooling with Workload Allocation for Data Center Power Minimization

نویسندگان

  • Li Li
  • Wenli Zheng
  • Xiaodong Wang
  • Xiaorui Wang
چکیده

Data centers are seeking more efficient cooling techniques to reduce their operating expenses, because cooling can account for 30-40% of the power consumption of a data center. Recently, liquid cooling has emerged as a promising alternative to traditional air cooling, because it can help eliminate undesired air recirculation. Another emerging technology is free air cooling, which saves chiller power by utilizing outside cold air for cooling. Some existing data centers have already started to adopt both liquid and free air cooling techniques for significantly improved cooling efficiency and more data centers are expected to follow. In this paper, we propose SmartCool, a power optimization scheme that effectively coordinates different cooling techniques and dynamically manages workload allocation for jointly optimized cooling and server power. In sharp contrast to the existing work that addresses different cooling techniques in an isolated manner, SmartCool systematically formulates the integration of different cooling systems as a constrained optimization problem. Furthermore, since geo-distributed data centers have different ambient temperatures, SmartCool dynamically dispatches the incoming requests among a network of data centers with heterogeneous cooling systems to best leverage the high efficiency of free cooling. A light-weight heuristic algorithm is proposed to achieve a near-optimal solution with a low run-time overhead. We evaluate SmartCool both in simulation and on a hardware testbed. The results show that SmartCool outperforms two state-of-the-art baselines by having a 38% more power savings.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Chip Temperature-Based Workload Allocation for Holistic Power Minimization in Air-Cooled Data Center

Minimizing the energy consumption is a dominant problem in data center design and operation. To cope with this issue, the common approach is to optimize the data center layout and the workload distribution among servers. Previous works have mainly adopted the temperature at the server inlet as the optimization constraint. However, the inlet temperature does not properly characterize the server’...

متن کامل

On the Cooling-Aware Workload Placement Problem

This paper proposes a new challenging optimization problem, called COOLING-AWARE WORKLOAD PLACEMENT PROBLEM, that looks for a workload placement that optimizes the overall data center power consumption given by the sum of the server power consumption and of the computer room air conditioner power consumption. We formulate CWPP as a Mixed Integer Non Linear Problem using a cross-interference mat...

متن کامل

Dynamic Data Center Power Management: Trends, Issues, and Solutions

In this paper we examine the challenges of increasing data center power consumption and higher energy costs in the face of ever-increasing computing needs. An examination of how power is allocated to computing resources in data centers shows that current methods do not result in optimal use of available data center power and space. We identify requirements that server platforms must address to ...

متن کامل

UPS-Aware Workload Placement in Enterprise Data Centers

Energy efficiency has become a very important concern for enterprise data centers due to the significant cost on electricity. To improve the energy efficiency of data centers, researchers and practitioners have proposed enormous work to reduce the energy consumption of data centers. Most of previous work focus on reducing the energy consumption of IT equipment; however, the power losses caused ...

متن کامل

Decentralized Routing and Power Allocation in FDMA Wireless Networks based on H∞ Fuzzy Control Strategy

Simultaneous routing and resource allocation has been considered in wireless networks for its performance improvement. In this paper we propose a cross-layer optimization framework for worst-case queue length minimization in some type of FDMA based wireless networks, in which the the data routing and the power allocation problem are jointly optimized with Fuzzy distributed H∞ control strategy ....

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014