Temperature-aware dynamic resource provisioning in a power-optimized datacenter

Abstract

-The current energy and environmental cost trends of datacenters are unsustainable. It is critically important to develop datacenter-wide power and thermal management (PTM) solutions that improve the energy efficiency of the datacenters. This paper describes one such approach where a PTM engine decides on the number and placement of ON servers while simultaneously adjusting the supplied cold air temperature. The goal is to minimize the total power consumption (for both servers and air conditioning units) while meeting an upper bound on the maximum temperature seen in any server chassis in the data center. To achieve this goal, it is important to be able to predict the incoming workload in terms of requests per second (which is done by using a short-term workload forecasting technique) and to have efficient runtime policies for bringing new servers online when the workload is high or shutting them off when the workload is low. Datacenter-wide power saving is thus achieved by a combination of chassis consolidation and efficient cooling. Experimental results demonstrate the effectiveness of the proposed dynamic resource provisioning method.

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“…Tang et al [9] proposed XInt which can schedule tasks to minimize the inlet temperatures and also to reduce the cooling energy costs. Pakbaznia et al [10] combined chassis consolidation and efficient cooling together to save the power consumption while keeping the maximum temperature under a controlled level. Wang et al [11] designed two kinds of thermal-aware algorithms aiming at lowering the temperatures and minimizing the cooling system power consumption.…”

“…The cooling system we discuss here consists of both the traditional computer room air conditioning (CRAC) unit and the air economizer. According to relevant studies [10], the coefficient of performance (CoP) is often used to indicate the efficiency of a cooling system, which can be computed by…”