Integrated management of application performance, power and cooling in data centers

Chen, Yuan; Gmach, Daniel; Hyser, Chris; Wang, Zhikui; Bash, Cullen; Hoover, Christopher; Singhal, Sharad

doi:10.1109/noms.2010.5488433

Cited by 73 publications

(50 citation statements)

References 18 publications

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“…those with low impact on the processor temperature) after hot tasks to lower the resulting temperature (the order of execution of the tasks has an impact on the temperature) [25]. Similarly, they can also decide where tasks must be executed, and place hot tasks in the hosts of the data center that are easier to cool [24]. Naturally, both decisions on when and in which host to execute a task can be taken together to minimize the resulting temperature [15].…”

Section: Energy Efficiency Of the Cooling And Power Supply Subsystemsmentioning

confidence: 99%

Toward sustainable data centers: a comprehensive energy management strategy

Guitart

2016

Computing

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Data centers are major contributors to the emission of carbon dioxide to the atmosphere, and this contribution is expected to increase in the following years. This has encouraged the development of techniques to reduce the energy consumption and the environmental footprint of data centers. Whereas some of these techniques have succeeded to reduce the energy consumption of the hardware equipment of data centers (including IT, cooling, and power supply systems), we claim that sustainable data centers will be only possible if the problem is faced by means of a holistic approach that includes not only the aforementioned techniques but also intelligent and unifying solutions that enable a synergistic and energy-aware management of data centers. In this paper, we propose a comprehensive strategy to reduce the carbon footprint of data centers that uses the energy as a driver of their management procedures. In addition, we present a holistic management architecture for sustainable data centers that implements the aforementioned strategy, and we propose design guidelines to accomplish each step of the proposed strategy, referring to related achievements and enumerating the main challenges that must be still solved.

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Section: Energy Efficiency Of the Cooling And Power Supply Subsystemsmentioning

confidence: 99%

Toward sustainable data centers: a comprehensive energy management strategy

Guitart

2016

Computing

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“…In [34] authors propose abstract models to balance computing power in a datacenter by minimizing peak inlet temperatures. A holistic approach that manages IT, power and cooling equipment by dynamically migrating servers' workloads and adjusting cooling is presented in [13]. Experimental results for a virtual datacenter demonstrate a reduction by 35% in power consumption and 15% in cooling.…”

Section: Related Workmentioning

confidence: 99%

Joint Computing and Electric Systems Optimization for Green Datacenters

Pahlevan

Rossi

Valle

et al. 2016

Handbook of Hardware/Software Codesign

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This chapter presents an optimization framework to manage green datacenters using multi-level energy reduction techniques in a joint approach. A green datacenter exploits renewable energy sources and active Uninterruptible Power Supply (UPS) units to reduce the energy intake from the grid while improving its Quality of Service (QoS). At server level, the state-of-the-art correlation-aware Virtual Machines (VMs) consolidation technique allows to maximize server's energy efficiency. At system level, heterogeneous Energy Storage Systems (ESS) replace standard UPSs while a dedicated optimization strategy aims at maximizing the lifetime of the battery banks and to reduce the energy bill, considering the load of the servers. Results demonstrate, under different number of VMs in the system, up to 11.6% energy savings, 10.4% improvement of QoS compared to existing correlation-aware VM allocation schemes for datacenters and up to 96% electricity bill savings. IntroductionEver increasing demands for computing and growing number of clusters and servers in datacenters have ramped up the power consumption costs as an undesirable effect [21]. On the other hand, traditional fossil fuel concerns, carbon emissions and global warming impose the introduction of more sustainable energy sources and behavioural change of people [41], since 10% of the global consumption of electrical energy has been estimated to be consumed by Information Technology (IT) infrastructures [14].

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“…This work focuses on the integration of different "silos", e.g., [20,28,30,10]. An example of such work is the dynamic thermal management of airconditioners based on load at the IT rack level [20,9].…”

Section: Introductionmentioning

confidence: 99%

Renewable and cooling aware workload management for sustainable data centers

LiuZhenhua

ChenYuan

Bash

et al. 2012

SIGMETRICS Perform. Eval. Rev.

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208

192

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Recently, the demand for data center computing has surged, increasing the total energy footprint of data centers worldwide. Data centers typically comprise three subsystems: IT equipment provides services to customers; power infrastructure supports the IT and cooling equipment; and the cooling infrastructure removes heat generated by these subsystems. This work presents a novel approach to model the energy flows in a data center and optimize its operation. Traditionally, supply-side constraints such as energy or cooling availability were treated independently from IT workload management. This work reduces electricity cost and environmental impact using a holistic approach that integrates renewable supply, dynamic pricing, and cooling supply including chiller and outside air cooling, with IT workload planning to improve the overall sustainability of data center operations. Specifically, we first predict renewable energy as well as IT demand. Then we use these predictions to generate an IT workload management plan that schedules IT workload and allocates IT resources within a data center according to time varying power supply and cooling efficiency. We have implemented and evaluated our approach using traces from real data centers and production systems. The results demonstrate that our approach can reduce both the recurring power costs and the use of non-renewable energy by as much as 60% compared to existing techniques, while still meeting the Service Level Agreements.

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Integrated management of application performance, power and cooling in data centers

Cited by 73 publications

References 18 publications

Toward sustainable data centers: a comprehensive energy management strategy

Toward sustainable data centers: a comprehensive energy management strategy

Joint Computing and Electric Systems Optimization for Green Datacenters

Renewable and cooling aware workload management for sustainable data centers

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