A Survey and Taxonomy of Energy Efficiency Relevant Surveys in Cloud-Related Environments

You, Xindong; Li, Yeli; Zheng, Meilian; Zhu, Chuan; Yu, Lifeng

doi:10.1109/access.2017.2718001

Cited by 24 publications

(11 citation statements)

References 55 publications

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“…You et al [80] provided a survey that gives a comprehensive understanding of the current level of energy efficiency related to surveys in cloud-related environments. Here, a survey on surveys of energy efficiency was performed based on five categories, which include the surveys on the energy efficiency of the whole cloud, of the certain levels in cloud, on a certain energy efficiency technique, on all energy-efficient strategies, and other energy efficiency-related surveys [80].…”

Section: Related Surveysmentioning

confidence: 99%

Quantitative Analysis and Performance Evaluation of Target-Oriented Replication Strategies in Cloud Computing

Waseem¹,

Din

Alshamrani

et al. 2021

Electronics

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Data replications effectively replicate the same data to various multiple locations to accomplish the objective of zero loss of information in case of failures without any downtown. Dynamic data replication strategies (providing run time location of replicas) in clouds should optimize the key performance indicator parameters, like response time, reliability, availability, scalability, cost, availability, performance, etc. To fulfill these objectives, various state-of-the-art dynamic data replication strategies has been proposed, based on several criteria and reported in the literature along with advantages and disadvantages. This paper provides a quantitative analysis and performance evaluation of target-oriented replication strategies based on target objectives. In this paper, we will try to find out which target objective is most addressed, which are average addressed, and which are least addressed in target-oriented replication strategies. The paper also includes a detailed discussion about the challenges, issues, and future research directions. This comprehensive analysis and performance evaluation based-work will open a new door for researchers in the field of cloud computing and will be helpful for further development of cloud-based dynamic data replication strategies to develop a technique that will address all attributes (Target Objectives) effectively in one replication strategy.

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Section: Related Surveysmentioning

confidence: 99%

Quantitative Analysis and Performance Evaluation of Target-Oriented Replication Strategies in Cloud Computing

Waseem¹,

Din

Alshamrani

et al. 2021

Electronics

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“…While the cloud platform makes it possible to externalize all measurements, store, analyze, and prepare data for other functions [48], there is a need to improve infrastructure and computational power of installations that fit this layer [32]. These improvements should also lead to lower energy consumption [10,51,[102][103][104][105][106], and also decrease maintenance costs [52,102,103,105,106]. Other technological challenges cited by the authors that can contribute to the improvement of activities related to the cloud are the improvement of data collection and acquisition, and scheduling tasks to reduce data traffic in the cloud [16,98,107], increase storage capacity, increase the number of users connected [29,108], reduce cloud saturation bottlenecks [33,53,59,60,69,72,98], improve data processing algorithms [33,46,63], decrease server failures and loss of user data [29,63], and integrate distributed data storage systems [16,63].…”

Section: Cloudmentioning

confidence: 99%

Management Challenges and Opportunities for Energy Cloud Development and Diffusion

et al. 2020

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The use of emerging technologies such as cloud computing, Internet of Things, and Big Data, is increasing as tools to assist the management of data and information related to energy systems grow. This allows for greater flexibility, scalability of solutions, optimization of energy use, and management of energy devices. In this sense, the objective of this research is to present the basic elements and requirements for the energy cloud and its management and discuss the main management challenges and opportunities for the development and diffusion of the energy cloud. This study was based on a systematic review carried out to identify the elements that compose the energy cloud and what is necessary for its management, and to list the challenges and opportunities that may be explored by researchers and practitioners. The results show that the layout for the energy cloud and its management can be structured in layers and management support blocks’ format. It was found that 70 basic elements make up the main layers and 36 basic elements make up the management support blocks. The findings of this article also provide insights into the technical, scientific, and management development necessary for the evolution of energy systems toward the cloud computing environment.

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“…As mentioned before, there are many related surveys on the energy efficiency in cloud-related environments over past the five years. We conducted our research from the survey perspective [117]: all of the surveys are classified into five categories: surveys on the energy efficiency of the whole cloud related system [40]- [50], surveys on the energy efficiency of the certain level or component of the cloud [39], [51]- [59], surveys on all energy efficient strategies [60]- [64], surveys on a certain energy efficiency technique [65]- [76], and other energy efficiency related surveys [77]- [80]. In addition, the different categories of surveys are summarized from five aspects, which include the title, survey focus, perspective, target system and publication years.…”

Section: Our Previous Work and Focus Of This Surveymentioning

confidence: 99%

“…Many scholars have tried to search the new space to reduce the energy consumption by conducting surveys on energy consumption from different perspectives. In article [117], we classified the current existing surveys on energy consumption in cloud-related environment into five categories, which are, surveys on the energy efficiency of the whole cloud related system, surveys on energy efficiency of the certain level or component of the cloud, surveys on all of energy efficient strategies, surveys on a certain energy efficiency techniques, and other energy efficiency related survey. According to our observations, there is no article conducting the surveys and taxonomy of energy-aware data management strategies.…”

Section: Introductionmentioning

confidence: 99%

A Survey and Taxonomy on Energy-Aware Data Management Strategies in Cloud Environment

You

Zhen

et al. 2020

IEEE Access

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During the past ten years, the energy consumption problem in cloud-related environments has attracted substantial attention in research and industrial communities. Researchers have conducted many surveys on energy efficiency issues from different perspectives. All of the surveys can be classified into five categories: surveys on the energy efficiency of the whole cloud related system, surveys on the energy efficiency of a certain level or component of the cloud, surveys on all of the energy efficient strategies, surveys on a certain energy efficiency techniques, and other energy efficiency related surveys. However, to the best of our knowledge, surveys on energy-aware data management strategies in cloud-related environment are absent. In this paper, we conduct a comprehensive survey on energy saving-aware data management strategies in cloud-related environments, such as data classification, data placement and data replication strategies. Compared to current existing reviews on energy efficiency in cloud-related environments, we firstly conduct the survey on the energy consumption problem from the data management perspective. Furthermore, we classify the energy-aware data management strategies from different perspectives. This survey and the taxonomy of the energy-aware data management strategies demonstrate the potential for reducing the energy consumption at the data management level of a cloud storage system, which will compress more space for energy reduction and finally achieve energy proportionality. Moreover, this survey and taxonomy on the energy efficiency issue from the data management perspective is an important supplement to current existing surveys on energy efficiency in cloud-related environments.

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A Survey and Taxonomy of Energy Efficiency Relevant Surveys in Cloud-Related Environments

Cited by 24 publications

References 55 publications

Quantitative Analysis and Performance Evaluation of Target-Oriented Replication Strategies in Cloud Computing

Quantitative Analysis and Performance Evaluation of Target-Oriented Replication Strategies in Cloud Computing

Management Challenges and Opportunities for Energy Cloud Development and Diffusion

A Survey and Taxonomy on Energy-Aware Data Management Strategies in Cloud Environment

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