Saving Energy in Data Center Infrastructures

Ricciardi, Sergio; Careglio, Davide; Santos-Boada, Germ ́n; Sole-Pareta, J.; Fiore, Ugo; Palmieri, Francesco

doi:10.1109/ccp.2011.9

Cited by 38 publications

(17 citation statements)

References 5 publications

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“…The same trend has characterized the server units or data storage systems, where the large diffusion of IPMI cards and integrated management devices has open a range of new opportunity to monitor the hosts. In addition, the adoption of green computing philosophy has enlarged the role of monitoring as a fundamental component to optimize energy consumption and implementing eco-friendly environment [1] [2]. In distributed e-infrastructures, monitoring is further complicated by both integration and interoperability issues.…”

Section: Introductionmentioning

confidence: 99%

Infrastructure Monitoring for Distributed Tier1: The ReCaS Project Use-Case

Boccia¹,

Carraciuolo²,

Prete

et al. 2014

2014 International Conference on Intelligent Networking and Collaborative Systems

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The management of distributed e-infrastructures introduces additional requirements in the monitoring system. The main issue is to enable users to achieve the awareness of the global status, and to present the information in function of the role: simple user, system admin, manager. In this work we present the solution created for the ReCaS infrastructure that federates four datacenters in south of Italy. Thanks to the introduction of a data exchange schema, we integrated four heterogeneous and independent subsystems into a single monitoring dashboard. The data collection system allowed us to obtain aggregate metrics by giving a full instantaneous overview of the global infrastructure. Finally, thanks to the user profiling different access views are available, associated to the different class of consumers.

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Section: Introductionmentioning

confidence: 99%

Infrastructure Monitoring for Distributed Tier1: The ReCaS Project Use-Case

Boccia¹,

Carraciuolo²,

Prete

et al. 2014

2014 International Conference on Intelligent Networking and Collaborative Systems

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“…As a result of the massive growth in cloud computing over the past decade, energy consumption and thermal management have become major bottlenecks in modern data centers [1]. Google alone is estimated to operate over one million servers.…”

Section: Introductionmentioning

confidence: 99%

Server power management with integrated Lithium-Ion Ultracapacitor and bi-directional DC-DC converter for distributed UPS and reactive power mitigation

Zhao

Khan

Wen

et al. 2015

2015 IEEE Applied Power Electronics Conference and Exposition (APEC)

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With the rapid proliferation of cloud computing, the cooling cost of large data centers and the reactive power impact on the grid have become a major concern. This paper presents an improved power architecture for servers with integrated energy storage. Lithium-Ion Ultracapacitors (LIC) are used to provide short-term UPS functionality, while also reducing the reactive power. The control scheme forces the PFC module to operate only in the region of high efficiency and high power factor during dynamic workloads. When the server is operating in idle mode, the PFC module draws only 12% less reactive power compared to having all four CPU cores operating at 100% load, which provides a strong incentive for the proposed scheme. A 200 kHz bi-directional multi-phase dc-dc converter operating in Hysteretic Current Mode Control (HCMC) is demonstrated to interface the 12 V internal bus with the LICs and the server load.978-1-4799-6735-3/15/$31.00 ©2015 IEEE

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“…In this setup, not all computers must be running and consuming energy; in many computers, the processes are concentrated and assigned to fewer computers. Researchers performed many test and concluded that Energy Farm has the potential to increase resource allocation efficiency by up to 68%, which can lead to significant savings in costs and energy [17]. where P is the Power, C is the Capacitance, f is the frequency and V is Voltage as shown in Figure 3.…”

Section: Literature Reviewmentioning

confidence: 99%

Scalability of the DVFS Power Management Technique as Applied to 3-Tier Data Center Architecture in Cloud Computing

Bani‐Ahmad¹,

Sa’adeh²

2017

JCC

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The increase in computing capacity caused a rapid and sudden increase in the Operational Expenses (OPEX) of data centers. OPEX reduction is a big concern and a key target in modern data centers. In this study, the scalability of the Dynamic Voltage and Frequency Scaling (DVFS) power management technique is studied under multiple different workloads. The environment of this study is a 3-Tier data center. We conducted multiple experiments to find the impact of using DVFS on energy reduction under two scheduling techniques, namely: Round Robin and Green. We observed that the amount of energy reduction varies according to data center load. When the data center load increases, the energy reduction decreases. Experiments using Green scheduler showed around 83% decrease in power consumption when DVFS is enabled and DC is lightly loaded. In case the DC is fully loaded, in which case the servers' CPUs are constantly busy with no idle time, the effect of DVFS decreases and stabilizes to less than 10%. Experiments using Round Robin scheduler showed less energy saving by DVFS, specifically, around 25% in light DC load and less than 5% in heavy DC load. In order to find the effect of task weight on energy consumption, a set of experiments were conducted through applying thin and fat tasks. A thin task has much less instructions compared to fat tasks. We observed, through the simulation, that the difference in power reduction between both types of tasks when using DVFS is less than 1%.

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Saving Energy in Data Center Infrastructures

Cited by 38 publications

References 5 publications

Infrastructure Monitoring for Distributed Tier1: The ReCaS Project Use-Case

Infrastructure Monitoring for Distributed Tier1: The ReCaS Project Use-Case

Server power management with integrated Lithium-Ion Ultracapacitor and bi-directional DC-DC converter for distributed UPS and reactive power mitigation

Scalability of the DVFS Power Management Technique as Applied to 3-Tier Data Center Architecture in Cloud Computing

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