Energy efficiency in cloud computing data center: a survey on hardware technologies

Katal, Avita; Dahiya, Susheela; Choudhury, Tanupriya

doi:10.1007/s10586-021-03431-z

Cited by 35 publications

(10 citation statements)

References 81 publications

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“…[45] developed a Cloud Monitor that can generate data models for cloud-based power forecasting, which also provides insight into the energy costs of activity in the cloud without using any additional external equipment [37]. A new simple energy consumption model was introduced by [34], which also works as an analysis tool for cloud-computing environments to track and calculate the total energy consumption based on different runtime activities and to support static or dynamic system-level optimization [46][47][48][49][50][51][52].…”

Section: Evolution Of Energy Efficiency Techniquesmentioning

confidence: 99%

“…Various methods for reducing the power consumption of data centers are discussed in the survey by [51]. All strategies used to lower energy-specific hardware components/levels are covered in extreme detail.…”

Section: Related Surveysmentioning

confidence: 99%

“…Still, more energy optimization needs to be achieved by modifying and upgrading the architecture of microprocessors. The carbon footprint depends on the energy source applied in the data centers [51]. Green computing is incorporated to solve both problems of increasing carbon footprint and energy optimization [52][53][54].…”

Section: Rq5: Describe Various Energy Efficiency Techniques Employed ...mentioning

confidence: 99%

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A Systematic Survey on Energy-Efficient Techniques in Sustainable Cloud Computing

et al. 2022

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Global warming is one of the most compelling environmental threats today, as the rise in energy consumption and CO2 emission caused a dreadful impact on our environment. The data centers, computing devices, network equipment, etc., consume vast amounts of energy that the thermal power plants mainly generate. Primarily fossil fuels like coal and oils are used for energy generation in these power plants that induce various environmental problems such as global warming ozone layer depletion, which can even become the cause of premature deaths of living beings. The recent research trend has shifted towards optimizing energy consumption and green fields since the world recognized the importance of these concepts. This paper aims to conduct a complete systematic mapping analysis on the impact of high energy consumption in cloud data centers and its effect on the environment. To answer the research questions identified in this paper, one hundred nineteen primary studies published until February 2022 were considered and further categorized. Some new developments in green cloud computing and the taxonomy of various energy efficiency techniques used in data centers have also been discussed. It includes techniques like VM Virtualization and Consolidation, Power-aware, Bio-inspired methods, Thermal-management techniques, and an effort to evaluate the cloud data center’s role in reducing energy consumption and CO2 footprints. Most of the researchers proposed software level techniques as with these techniques, massive infrastructures are not required as compared with hardware techniques, and it is less prone to failure and faults. Also, we disclose some dominant problems and provide suggestions for future enhancements in green computing.

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Section: Evolution Of Energy Efficiency Techniquesmentioning

confidence: 99%

Section: Related Surveysmentioning

confidence: 99%

Section: Rq5: Describe Various Energy Efficiency Techniques Employed ...mentioning

confidence: 99%

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A Systematic Survey on Energy-Efficient Techniques in Sustainable Cloud Computing

et al. 2022

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“…These survey reports also did not get into specifics concerning environmental variables or case studies. This article is an extension of the authors’ earlier work, which provides a study of hardware solutions for establishing green data centres [ 16 ]. This paper provides the detailed information about the different techniques that can be applied at the individual software levels and in-depth information about the power modelling at operating system virtualization and data center level along with the work done in different problem-solving approaches like VM migration, workload categorization, load balancing and VM placement.…”

Section: Related Workmentioning

confidence: 99%

Energy efficiency in cloud computing data centers: a survey on software technologies

2022

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Cloud computing is a commercial and economic paradigm that has gained traction since 2006 and is presently the most significant technology in IT sector. From the notion of cloud computing to its energy efficiency, cloud has been the subject of much discussion. The energy consumption of data centres alone will rise from 200 TWh in 2016 to 2967 TWh in 2030. The data centres require a lot of power to provide services, which increases CO2 emissions. In this survey paper, software-based technologies that can be used for building green data centers and include power management at individual software level has been discussed. The paper discusses the energy efficiency in containers and problem-solving approaches used for reducing power consumption in data centers. Further, the paper also gives details about the impact of data centers on environment that includes the e-waste and the various standards opted by different countries for giving rating to the data centers. This article goes beyond just demonstrating new green cloud computing possibilities. Instead, it focuses the attention and resources of academia and society on a critical issue: long-term technological advancement. The article covers the new technologies that can be applied at the individual software level that includes techniques applied at virtualization level, operating system level and application level. It clearly defines different measures at each level to reduce the energy consumption that clearly adds value to the current environmental problem of pollution reduction. This article also addresses the difficulties, concerns, and needs that cloud data centres and cloud organisations must grasp, as well as some of the factors and case studies that influence green cloud usage.

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“…Hussain et al [ 40 ] developed a schedule-based algorithm to decrease energy usage in the heterogenous virtual machine cloud environment. After all, Katal et al [ 41 ] conducted a thorough survey on energy efficiency in a cloud computing data center environment. They discussed various methods to lower the power usage in data centers with hardware component level for decreasing the usage by components.…”

Section: Literature Reviewmentioning

confidence: 99%

Cloud Servers: Resource Optimization Using Different Energy Saving Techniques

Hijji

Ahmad

Alam

et al. 2022

Sensors

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Currently, researchers are working to contribute to the emerging fields of cloud computing, edge computing, and distributed systems. The major area of interest is to examine and understand their performance. The major globally leading companies, such as Google, Amazon, ONLIVE, Giaki, and eBay, are truly concerned about the impact of energy consumption. These cloud computing companies use huge data centers, consisting of virtual computers that are positioned worldwide and necessitate exceptionally high-power costs to preserve. The increased requirement for energy consumption in IT firms has posed many challenges for cloud computing companies pertinent to power expenses. Energy utilization is reliant upon numerous aspects, for example, the service level agreement, techniques for choosing the virtual machine, the applied optimization strategies and policies, and kinds of workload. The present paper tries to provide an answer to challenges related to energy-saving through the assistance of both dynamic voltage and frequency scaling techniques for gaming data centers. Also, to evaluate both the dynamic voltage and frequency scaling techniques compared to non-power-aware and static threshold detection techniques. The findings will facilitate service suppliers in how to encounter the quality of service and experience limitations by fulfilling the service level agreements. For this purpose, the CloudSim platform is applied for the application of a situation in which game traces are employed as a workload for analyzing the procedure. The findings evidenced that an assortment of good quality techniques can benefit gaming servers to conserve energy expenditures and sustain the best quality of service for consumers located universally. The originality of this research presents a prospect to examine which procedure performs good (for example, dynamic, static, or non-power aware). The findings validate that less energy is utilized by applying a dynamic voltage and frequency method along with fewer service level agreement violations, and better quality of service and experience, in contrast with static threshold consolidation or non-power aware technique.

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Energy efficiency in cloud computing data center: a survey on hardware technologies

Cited by 35 publications

References 81 publications

A Systematic Survey on Energy-Efficient Techniques in Sustainable Cloud Computing

A Systematic Survey on Energy-Efficient Techniques in Sustainable Cloud Computing

Energy efficiency in cloud computing data centers: a survey on software technologies

Cloud Servers: Resource Optimization Using Different Energy Saving Techniques

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