Data center power and performance optimization through global selection of P-states and utilization rates

Bergamaschi, Reinaldo A.; Piga, Leonardo; Rigo, Sandro; Azevedo, Rodolfo; Araújo, Guido

doi:10.1016/j.suscom.2012.10.001

Cited by 7 publications

(6 citation statements)

References 9 publications

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“…The hallmark of modern communication is the ever-presence of massive data centers whose function is to store and warehouse application context needed by end-users. To fully understand the configuration of the datacenter, the reader is referred to [28][29][30]. Energy and power management is one critical problem considering the growth phase of an Exascale network.…”

Section: Why Hpc Is Important To Modern Communicationmentioning

confidence: 99%

Artificial Intelligence: An Energy Efficiency Tool for Enhanced High performance computing

et al. 2020

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Power-consuming entities such as high performance computing (HPC) sites and large data centers are growing with the advance in information technology. In business, HPC is used to enhance the product delivery time, reduce the production cost, and decrease the time it takes to develop a new product. Today’s high level of computing power from supercomputers comes at the expense of consuming large amounts of electric power. It is necessary to consider reducing the energy required by the computing systems and the resources needed to operate these computing systems to minimize the energy utilized by HPC entities. The database could improve system energy efficiency by sampling all the components’ power consumption at regular intervals and the information contained in a database. The information stored in the database will serve as input data for energy-efficiency optimization. More so, device workload information and different usage metrics are stored in the database. There has been strong momentum in the area of artificial intelligence (AI) as a tool for optimizing and processing automation by leveraging on already existing information. This paper discusses ideas for improving energy efficiency for HPC using AI.

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Section: Why Hpc Is Important To Modern Communicationmentioning

confidence: 99%

Artificial Intelligence: An Energy Efficiency Tool for Enhanced High performance computing

et al. 2020

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“…Contrasted with different techniques, for example, server on/off, utilization of dynamic voltage scaling causes less overhead which encourages forceful vitality sparing. [4] Use DVFS component to spare memory vitality. Their strategy brings down the recurrence of DRAM gadgets, memory channels and memory controllers at the season of low memory action.…”

Section: A Dvfs Techniquesmentioning

confidence: 99%

Power Management in Server Farms

Maruthi¹,

Sankari²

2019

IJITEE

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With developing utilization of web and exponential development in measure of information to be handled, the extent of server farms has enormously expanded. This, in any case, has brought about huge increment in the power utilization of the server farms. Hence, overseeing power utilization of server farms has moved toward becoming fundamental. In this paper, the need of accomplishing vitality productivity in server farms and overview a few later structural procedures intended for power the executives of server farms is featured. Additionally an order of these methods dependent on their qualities is presented. This paper expects to explore into the methods to improving vitality effectiveness of server farms and urge the necessity to create novel answers for dealing with the huge control dissemination of server farms.

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“…Lesser computation cycles may affect QoS of the hosted cloud services. The Advanced Configuration and Power Interface (ACPI), available on most of the operating systems, provides a standard interface for managing server power states [23]. ACPI standard provides different server states defined in Table I.…”

Section: Computing Systemsmentioning

confidence: 99%

Survey of Techniques and Architectures for Designing Energy-Efficient Data Centers

Shuja

Bilal

Madani

et al. 2016

IEEE Systems Journal

157

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Cloud computing has emerged as the leading paradigm for information technology businesses. Cloud computing provides a platform to manage and deliver computing services around the world over the Internet. Cloud services have helped businesses utilize computing services on demand with no upfront investments. The cloud computing paradigm has sustained its growth, which has led to increase in size and number of data centers. Data centers with thousands of computing devices are deployed as back end to provide cloud services. Computing devices are deployed redundantly in data centers to ensure 24/7 availability. However, many studies have pointed out that data centers consume large amount of electricity, thus calling for energy-efficiency measures. In this survey, we discuss research issues related to conflicting requirements of maximizing quality of services (QoSs) (availability, reliability, etc.) delivered by the cloud services while minimizing energy consumption of the data center resources. In this paper, we present the concept of inception of data center energy-efficiency controller that can consolidate data center resources with minimal effect on QoS requirements. We discuss software-and hardware-based techniques and architectures for data center resources such as server, memory, and network devices that can be manipulated by the data center controller to achieve energy efficiency.Index Terms-Controller design, data centers, energy efficiency.

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Data center power and performance optimization through global selection of P-states and utilization rates

Cited by 7 publications

References 9 publications

Artificial Intelligence: An Energy Efficiency Tool for Enhanced High performance computing

Artificial Intelligence: An Energy Efficiency Tool for Enhanced High performance computing

Power Management in Server Farms

Survey of Techniques and Architectures for Designing Energy-Efficient Data Centers

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