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

Cluster Computing, Journal Year: 2022, Volume and Issue: 26(3), P. 1845 - 1875

Published: Aug. 30, 2022

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

Language: Английский

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Big Data Analytics Using Cloud Computing Based Frameworks for Power Management Systems: Status, Constraints, and Future Recommendations

Sensors, Journal Year: 2023, Volume and Issue: 23(6), P. 2952 - 2952

Published: March 8, 2023

Traditional parallel computing for power management systems has prime challenges such as execution time, computational complexity, and efficiency like process time delays in system condition monitoring, particularly consumer consumption, weather data, generation detecting predicting data mining the centralized processing diagnosis. Due to these constraints, become a critical research consideration bottleneck. To cope with cloud computing-based methodologies have been introduced managing efficiently systems. This paper reviews concept of architecture that can meet multi-level real-time requirements improve monitoring performance which is designed different application scenarios monitoring. Then, solutions are discussed under background big emerging programming models Hadoop, Spark, Storm briefly described analyze advancement, innovations. The key metrics applications core sampling, modeling, analyzing competitiveness was modeled by applying related hypotheses. Finally, it introduces new design eventually some recommendations focusing on infrastructure, methods solve challenges.

Language: Английский

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MMKE: Multi-trial vector-based monkey king evolution algorithm and its applications for engineering optimization problems

PLoS ONE, Journal Year: 2023, Volume and Issue: 18(1), P. e0280006 - e0280006

Published: Jan. 3, 2023

Monkey king evolution (MKE) is a population-based differential evolutionary algorithm in which the single strategy and control parameter affect convergence balance between exploration exploitation. Since strategies have considerable impact on performance of algorithms, collaborating multiple can significantly enhance abilities algorithms. This our motivation to propose multi-trial vector-based monkey named MMKE. It introduces novel best-history trial vector producer (BTVP) random (RTVP) that effectively collaborate with canonical MKE (MKE-TVP) using approach tackle various real-world optimization problems diverse challenges. expected proposed MMKE improve global search capability, strike exploitation, prevent original from converging prematurely during process. The was assessed CEC 2018 test functions, results were compared eight metaheuristic As result experiments, it demonstrated capable producing competitive superior terms accuracy rate comparison comparative Additionally, Friedman used examine gained experimental statistically, proving Furthermore, four engineering design optimal power flow (OPF) problem for IEEE 30-bus system are optimized demonstrate MMKE's real applicability. showed handle difficulties associated able solve multi-objective OPF better solutions than

Language: Английский

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Big data processing using hybrid Gaussian mixture model with salp swarm algorithm

Journal Of Big Data, Journal Year: 2024, Volume and Issue: 11(1)

Published: Nov. 21, 2024

Abstract The traditional methods used in big data, like cluster creation and query-based data extraction, fail to yield accurate results on massive networks. To address such issues, the proposed approach involves using Hadoop Distributed File System (HDFS) for processing, map-reduce programming paradigm query optimization techniques quickly effectively extract outcomes from a variety of options with high processing capacity. methodology this work makes use Gaussian Mixture Model (GMM) clustering Salp Swarm Algorithm (SSA) optimization. security preprocessed stored networked clusters interconnections has been ensured by SHA algorithms. Finally, incorporating into consideration important parameters, evaluation findings experimental performance model indicated are produced. For work, estimated range input file sizes is 60–100 MB. 100 MB files yielded an accuracy 96% specificity sensitivity 90% 93%, respectively. have compared well-known fuzzy C-means K-means approaches, show that method distributes nodes low latency. Moreover, it uses least amount memory resources possible when operating functional CPUs. As result, outperforms existing techniques.

Language: Английский

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Deadline-constrained energy-aware workflow scheduling in geographically distributed cloud data centers

Future Generation Computer Systems, Journal Year: 2022, Volume and Issue: 132, P. 211 - 222

Published: Feb. 28, 2022

Language: Английский

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Discrete Improved Grey Wolf Optimizer for Community Detection

Journal of Bionic Engineering, Journal Year: 2023, Volume and Issue: 20(5), P. 2331 - 2358

Published: May 18, 2023

Language: Английский

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Using differential evolution and Moth–Flame optimization for scientific workflow scheduling in fog computing

Applied Soft Computing, Journal Year: 2021, Volume and Issue: 112, P. 107744 - 107744

Published: July 30, 2021

Language: Английский

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A Hybrid Grey Wolf Assisted-Sparrow Search Algorithm for Frequency Control of RE Integrated System

Energies, Journal Year: 2023, Volume and Issue: 16(3), P. 1177 - 1177

Published: Jan. 20, 2023

Nowadays, renewable energy (RE) sources are heavily integrated into the power system due to deregulation of market along with environmental and economic benefits. The intermittent nature RE stochastic behavior loads create frequency aberrations in interconnected hybrid systems (HPS). This paper attempts develop an optimization technique tune controller optimally regulate frequency. A Sparrow Search Algorithm-Grey Wolf Optimizer (SSAGWO) is proposed optimize gain values proportional integral derivative controller. algorithm helps improve original algorithms’ exploration exploitation. coded MATLAB applied for regulation a two-area HPS developed Simulink. efficacy proffered SSAGWO first assessed on standard benchmark functions then control model. results obtained from multi-area multi-source demonstrate that optimized PID performs significantly by 53%, 60%, 20%, 70% terms settling time, peak undershoot, effort, steady-state error values, respectively, than other state-of-the-art algorithms presented literature. robustness method also evaluated under random varying load, variation parameters, weather intermittency resources real-time conditions. Furthermore, controller’s was demonstrated performing sensitivity analysis variations 75% 125% inertia constant loading, nominal values. show damped out transient oscillations minimum time. Moreover, stability analyzed domain using Bode analysis.

Language: Английский

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A learning automata-based hybrid MPA and JS algorithm for numerical optimization problems and its application on data clustering

Knowledge-Based Systems, Journal Year: 2021, Volume and Issue: 236, P. 107682 - 107682

Published: Nov. 9, 2021

Language: Английский

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An efficient energy-aware approach for dynamic VM consolidation on cloud platforms

Cluster Computing, Journal Year: 2021, Volume and Issue: 24(4), P. 3293 - 3310

Published: June 16, 2021

Language: Английский

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