A multi‐objective method for virtual machines allocation in cloud data centres using an improved grey wolf optimization algorithm

Cloud computing is a rapidly evolving computational technology. It is a distributed computational system that offers dynamically scaled computational resources, such as processing power, storage, and applications, delivered as a service through the Internet. Virtual machines (VMs) allocation is know...

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Vydané v:IET communications Ročník 15; číslo 18; s. 2342 - 2353
Hlavní autori: Hashemi, Masoud, Javaheri, Danial, Sabbagh, Parisa, Arandian, Behdad, Abnoosian, Karlo
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Stevenage John Wiley & Sons, Inc 01.11.2021
Wiley
Predmet:
Algorithms
Animal populations
Cloud computing
Computer engineering
Energy consumption
Energy efficiency
Entropy
Genetic algorithms
Heuristic
Heuristic methods
improved grey wolf optimization algorithm
Internet software
Optimisation techniques
Optimization
Optimization algorithms
Resource utilization
Software
Traveling salesman problem
Virtual environments
virtual machines allocation
Workloads
ISSN:1751-8628, 1751-8636
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Abstract Cloud computing is a rapidly evolving computational technology. It is a distributed computational system that offers dynamically scaled computational resources, such as processing power, storage, and applications, delivered as a service through the Internet. Virtual machines (VMs) allocation is known as one of the most significant problems in cloud computing. It aims to find a suitable location for VMs on physical machines (PMs) to attain predefined aims. So, the main purpose is to reduce energy consumption and improve resource utilization. Because the VM allocation issue is NP‐hard, meta‐heuristic and heuristic methods are frequently utilized to address it. This paper presents an energy‐aware VM allocation method using the improved grey wolf optimization (IGWO) algorithm. Our key goals are to decrease both energy consumption and allocation time. The simulation outcomes from the MATLAB simulator approve the excellence of the algorithm compared to previous works.
AbstractList Cloud computing is a rapidly evolving computational technology. It is a distributed computational system that offers dynamically scaled computational resources, such as processing power, storage, and applications, delivered as a service through the Internet. Virtual machines (VMs) allocation is known as one of the most significant problems in cloud computing. It aims to find a suitable location for VMs on physical machines (PMs) to attain predefined aims. So, the main purpose is to reduce energy consumption and improve resource utilization. Because the VM allocation issue is NP‐hard, meta‐heuristic and heuristic methods are frequently utilized to address it. This paper presents an energy‐aware VM allocation method using the improved grey wolf optimization (IGWO) algorithm. Our key goals are to decrease both energy consumption and allocation time. The simulation outcomes from the MATLAB simulator approve the excellence of the algorithm compared to previous works.
Abstract Cloud computing is a rapidly evolving computational technology. It is a distributed computational system that offers dynamically scaled computational resources, such as processing power, storage, and applications, delivered as a service through the Internet. Virtual machines (VMs) allocation is known as one of the most significant problems in cloud computing. It aims to find a suitable location for VMs on physical machines (PMs) to attain predefined aims. So, the main purpose is to reduce energy consumption and improve resource utilization. Because the VM allocation issue is NP‐hard, meta‐heuristic and heuristic methods are frequently utilized to address it. This paper presents an energy‐aware VM allocation method using the improved grey wolf optimization (IGWO) algorithm. Our key goals are to decrease both energy consumption and allocation time. The simulation outcomes from the MATLAB simulator approve the excellence of the algorithm compared to previous works.
Author Abnoosian, Karlo
Hashemi, Masoud
Arandian, Behdad
Javaheri, Danial
Sabbagh, Parisa
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  surname: Abnoosian
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  organization: Islamic Azad University
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Cites_doi 10.1109/DEXA.2017.43
10.1016/j.apenergy.2021.117257
10.1016/j.nahs.2020.100883
10.1016/j.compbiolchem.2018.11.017
10.1109/JSYST.2018.2872580
10.3390/e23081008
10.1002/dac.4068
10.1109/CLOUD.2019.00062
10.1007/s10586-018-1769-z
10.1007/978-981-10-5026-8_12
10.1016/j.jnca.2017.04.007
10.1007/s11276-018-1874-1
10.1109/COMSNETS48256.2020.9027406
10.1007/s40998-020-00381-x
10.1109/CLOUD49709.2020.00044
10.1109/ICACCS.2017.8014639
10.1080/03772063.2020.1792360
10.1109/ACCESS.2017.2733723
10.1109/ICCCNT.2015.7395196
10.1002/rnc.4975
10.1155/2017/6741972
10.1016/j.ins.2020.09.052
10.1109/SIS.2014.7011800
10.1007/s40998-021-00419-8
10.1109/TRO.2020.2981822
10.1108/K-12-2018-0663
10.1016/j.asoc.2019.105946
10.1109/TVT.2020.2997853
10.1016/j.ins.2019.04.022
10.1109/ICSCN.2015.7219897
10.1080/19475705.2021.1909147
10.1016/j.jfranklin.2019.09.029
10.1109/ICCKE.2014.6993461
10.1007/s00500-013-1089-4
10.1016/j.measurement.2020.108427
10.1016/j.knosys.2020.106728
10.1007/978-981-10-6620-7_56
10.1016/j.knosys.2020.106684
10.1002/dac.4259
10.1016/j.asoc.2019.105686
10.1109/Eco-friendly.2016.7893236
10.1109/TCSVT.2018.2886277
10.1016/j.future.2018.03.014
10.1109/TII.2019.2922215
10.1016/j.compeleceng.2017.12.032
10.1049/iet-com.2021.0001
10.1016/j.advengsoft.2013.12.007
10.1016/j.cmpb.2017.10.022
10.1109/LWC.2020.3010156
10.1145/3241737
10.1109/TCSVT.2018.2867568
10.1016/j.ijepes.2020.105961
10.7717/peerj-cs.539
10.1111/mice.12684
10.1155/2021/7651393
10.1002/rnc.4856
10.1016/j.asoc.2014.07.024
10.1016/j.neucom.2017.04.060
10.1109/TCC.2013.9
10.1007/s00521-021-05708-1
10.1016/j.knosys.2020.106642
10.1109/LCOMM.2020.3005947
10.1016/j.rinp.2021.104094
10.1049/iet-com.2019.1149
10.1016/j.neucom.2021.05.010
10.1109/ACCESS.2018.2872750
10.1016/j.future.2020.04.008
10.1080/03772063.2017.1409087
10.1016/j.procs.2017.12.089
10.1007/s12652-018-0773-8
10.1109/ACCESS.2019.2911914
10.1016/j.measurement.2020.108474
10.1016/j.knosys.2016.01.002
10.1016/j.flowmeasinst.2020.101804
10.1093/comjnl/bxv106
10.1016/j.engappai.2020.103680
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References 2017; 5
2021; 24
2013; 1
2021; 23
2021; 168
2019; 10
2017; 88
2018; 125
2019; 16
2014; 69
2020; 14
2014; 24
2018; 86
2018; 6
2021; 33
2019; 22
2019; 65
2020; 92
2020; 9
2020; 88
2014; 18
2021; 2021
2019; 7
2021; 7
2017; 20
2018; 29
2021; 45
2017; 2017
2012
2019; 32
2021; 545
2019; 78
2016; 96
2020; 36
2020; 33
2016; 59
2018; 69
2018; 153
2019; 84
2021; 12
2021; 212
2020; 75
2020; 30
2021; 214
2021
2021; 455
2020
2021; 213
2019; 49
2019
2020; 357
2018
2020; 26
2020; 69
2017
2020; 24
2016
2020; 111
2018; 51
2015
2014
2021; 298
2019; 492
2017; 267
2020; 119
2018; 13
e_1_2_9_75_1
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e_1_2_9_54_1
Yadav R. (e_1_2_9_49_1) 2021
Addya S.K. (e_1_2_9_57_1) 2017; 20
e_1_2_9_71_1
Mohammadzadeh A. (e_1_2_9_73_1) 2020
e_1_2_9_14_1
e_1_2_9_16_1
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Yu H. (e_1_2_9_35_1) 2020
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Yu C. (e_1_2_9_39_1) 2021
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Zhang Y. (e_1_2_9_30_1) 2020
Naik B.B. (e_1_2_9_52_1) 2020
Aggarwal A. (e_1_2_9_22_1) 2020
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Computing S.I.C. (e_1_2_9_20_1) 2016
References_xml – volume: 45
  start-page: 921
  year: 2021
  end-page: 944
  article-title: Allocation‐based optimal reactive power dispatch considering polynomial load model using improved grey wolf optimizer
  publication-title: Iran. J. Sci. Technol. Trans. Electr. Eng
– volume: 13
  start-page: 2877
  issue: 3
  year: 2018
  end-page: 2887
  article-title: A strategy for live migration of virtual machines in a cloud federation
  publication-title: IEEE Syst. J.
– year: 2019
  article-title: Power and time aware vm migration for multi‐tier applications over geo‐distributed clouds
– year: 2016
  article-title: Computing
  publication-title: J. Network Comput. Appl.
– year: 2021
  article-title: Optimization of electric bus scheduling considering stochastic volatilities in trip travel time and energy consumption
  publication-title: Comput.‐Aided Civ. Infrastruct. Eng.
– volume: 213
  year: 2021
  article-title: Orthogonal learning covariance matrix for defects of grey wolf optimizer: insights, balance, diversity, and feature selection
  publication-title: Knowledge‐Based Syst.
– volume: 29
  start-page: 3516
  issue: 12
  year: 2018
  end-page: 3530
  article-title: Assessing visual quality of omnidirectional videos
  publication-title: IEEE Trans. Circuits Syst. Video Technol.
– start-page: 1
  year: 2017
  end-page: 6
  article-title: A resource aware VM placement strategy in cloud data centers based on crow search algorithm
– start-page: 1
  year: 2021
  end-page: 28
  article-title: SGOA: annealing‐behaved grasshopper optimizer for global tasks
  publication-title: Eng. Comput.
– start-page: 427
  year: 2020
  end-page: 434
  article-title: Vrmap: A cost and time aware remapping of virtual data centres over a geo‐distributed infrastructure
– volume: 69
  start-page: 8601
  issue: 8
  year: 2020
  end-page: 8612
  article-title: Resource allocation for cellular V2X networks Mode‐3 With underlay approach in LTE‐V standard
  publication-title: IEEE Trans. Veh. Technol.
– volume: 49
  start-page: 982
  year: 2019
  end-page: 1019
  article-title: Structural equation modeling in cloud computing studies: a systematic literature review
  publication-title: Kybernetes
– volume: 2017
  start-page: 1
  year: 2017
  end-page: 11
  article-title: MeReg: Managing energy‐SLA tradeoff for green mobile cloud computing
  publication-title: Wireless Commun. Mobile Comput.
– volume: 5
  start-page: 16006
  year: 2017
  end-page: 16020
  article-title: Energy‐efficient many‐objective virtual machine placement optimization in a cloud computing environment
  publication-title: IEEE Access
– volume: 298
  year: 2021
  article-title: Economic and environmental operation of power systems including combined cooling, heating, power and energy storage resources using developed multi‐objective grey wolf algorithm
  publication-title: Appl. Energy.
– volume: 86
  start-page: 12
  year: 2018
  end-page: 29
  article-title: NMCDA: A framework for evaluating cloud computing services
  publication-title: Future Gener. Comput. Syst.
– volume: 84
  year: 2019
  article-title: Optimal virtual machine selection for anomaly detection using a swarm intelligence approach
  publication-title: Appl. Soft Comput.
– volume: 32
  issue: 14
  year: 2019
  article-title: Multiobjective virtual machine placement mechanisms using nature‐inspired metaheuristic algorithms in cloud environments: A comprehensive review
  publication-title: Int. J. Commun. Syst.
– volume: 6
  start-page: 55923
  year: 2018
  end-page: 55936
  article-title: Adaptive energy‐aware algorithms for minimizing energy consumption and SLA violation in cloud computing
  publication-title: IEEE Access
– volume: 26
  start-page: 1905
  issue: 3
  year: 2020
  end-page: 1919
  article-title: An adaptive heuristic for managing energy consumption and overloaded hosts in a cloud data center
  publication-title: Wirel. Networks
– year: 2018
– year: 2020
  article-title: Self adaptive fruit fly algorithm for multiple workflow scheduling in cloud computing environment
  publication-title: Kybernetes
– volume: 96
  start-page: 61
  year: 2016
  end-page: 75
  article-title: Evolving support vector machines using fruit fly optimization for medical data classification
  publication-title: Knowledge‐Based Syst
– start-page: 291
  year: 2017
  end-page: 326
– volume: 7
  year: 2021
  article-title: A new SLA‐aware method for discovering the cloud services using an improved nature‐inspired optimization algorithm
  publication-title: PeerJ Comput. Sci.
– volume: 18
  start-page: 797
  issue: 4
  year: 2014
  end-page: 807
  article-title: Adaptive computational chemotaxis based on field in bacterial foraging optimization
  publication-title: Soft Comput.
– volume: 545
  start-page: 739
  year: 2021
  end-page: 752
  article-title: A cloud‐aided privacy‐preserving multi‐dimensional data comparison protocol
  publication-title: Inf. Sci.
– year: 2012
  article-title: Distributed load balancing allocation of virtual machine in cloud data center
– start-page: 1
  year: 2020
  end-page: 30
  article-title: Boosted binary Harris hawks optimizer and feature selection
  publication-title: Eng. Comput.
– volume: 267
  start-page: 69
  year: 2017
  end-page: 84
  article-title: Toward an optimal kernel extreme learning machine using a chaotic moth‐flame optimization strategy with applications in medical diagnoses
  publication-title: Neurocomputing
– volume: 65
  start-page: 201
  issue: 2
  year: 2019
  end-page: 215
  article-title: MFGMTS: Epsilon constraint‐based modified fractional grey wolf optimizer for multi‐objective task scheduling in cloud computing
  publication-title: IETE J. Res.
– start-page: 1
  year: 2020
  end-page: 11
  article-title: Classification of SGS‐SRAD denoised MRI using GWO optimized SVM
  publication-title: IETE J. Res
– year: 2014
  article-title: A biogeography‐based optimization algorithm for energy efficient virtual machine placement
– volume: 7
  start-page: 60617
  year: 2019
  end-page: 60625
  article-title: Energy efficient virtual machine placement with an improved ant colony optimization over data center networks
  publication-title: IEEE Access
– year: 2014
  article-title: Improving grouping genetic algorithm for virtual machine placement in cloud data centers
– volume: 36
  year: 2020
  article-title: Synchronization of Markovian complex networks with input mode delay and Markovian directed communication via distributed dynamic event‐triggered control
  publication-title: Nonlinear Anal. Hybrid Syst.
– year: 2020
  article-title: Proposing a gamma radiation based intelligent system for simultaneous analyzing and detecting type and amount of petroleum by‐products
  publication-title: Nucl.Eng. Technol.
– volume: 30
  start-page: 4022
  issue: 10
  year: 2020
  end-page: 4042
  article-title: Novel results on nonfragile sampled‐data exponential synchronization for delayed complex dynamical networks
  publication-title: Int. J. Robust Nonlinear Control
– volume: 69
  start-page: 334
  year: 2018
  end-page: 350
  article-title: Crow search based virtual machine placement strategy in cloud data centers with live migration
  publication-title: Comput. Electr. Eng.
– start-page: 1
  year: 2021
  end-page: 15
  article-title: Managing overloaded hosts for energy‐efficiency in cloud data centers
  publication-title: Cluster Comput
– volume: 29
  start-page: 2039
  issue: 7
  year: 2018
  end-page: 2054
  article-title: Enhancing quality for HEVC compressed videos
  publication-title: IEEE Trans. Circuits Syst. Video Technol.
– volume: 24
  start-page: 585
  year: 2014
  end-page: 596
  article-title: Feature selection based on improved ant colony optimization for online detection of foreign fiber in cotton
  publication-title: Appl. Soft Comput.
– volume: 492
  start-page: 181
  year: 2019
  end-page: 203
  article-title: Enhanced Moth‐flame optimizer with mutation strategy for global optimization
  publication-title: Inf. Sci.
– start-page: 1
  year: 2020
  end-page: 24
  article-title: Multi‐objective Virtual Machine Selection in Cloud Data Centers Using Optimized Scheduling
  publication-title: Wirel. Pers. Commun.
– volume: 92
  year: 2020
  article-title: A weighted corrective fuzzy reasoning spiking neural P system for fault diagnosis in power systems with variable topologies
  publication-title: Eng. Appl. Artif. Intell.
– volume: 30
  start-page: 1956
  issue: 5
  year: 2020
  end-page: 1978
  article-title: Strictly dissipative stabilization of multiple‐memory Markov jump systems with general transition rates: A novel event‐triggered control strategy
  publication-title: Int. J. Robust Nonlinear Control.
– volume: 212
  year: 2021
  article-title: Evolutionary biogeography‐based whale optimization methods with communication structure: towards measuring the balance
  publication-title: Knowledge‐Based Syst.
– volume: 88
  start-page: 50
  year: 2017
  end-page: 71
  article-title: Load‐balancing algorithms in cloud computing: A survey
  publication-title: J. Network Comput. Appl.
– volume: 36
  start-page: 894
  issue: 3
  year: 2020
  end-page: 909
  article-title: Definition and application of variable resistance coefficient for wheeled mobile robots on deformable terrain
  publication-title: IEEE Trans. Rob.
– volume: 214
  year: 2021
  article-title: Double adaptive weights for stabilization of moth flame optimizer: balance analysis, engineering cases, and medical diagnosis
  publication-title: Knowledge‐Based Syst
– volume: 168
  year: 2021
  article-title: Applicability of time‐domain feature extraction methods and artificial intelligence in two‐phase flow meters based on gamma‐ray absorption technique
  publication-title: Measurement
– volume: 51
  start-page: 1
  issue: 5
  year: 2018
  end-page: 38
  article-title: A manifesto for future generation cloud computing: Research directions for the next decade
  publication-title: ACM Comput. Surv. (CSUR).
– volume: 9
  start-page: 1975
  issue: 11
  year: 2020
  end-page: 1979
  article-title: A distributed power control algorithm for energy efficiency maximization in wireless cellular networks
  publication-title: IEEE Wireless Commun. Letters.
– volume: 22
  start-page: 8319
  issue: 4
  year: 2019
  end-page: 8334
  article-title: An improved Lévy based whale optimization algorithm for bandwidth‐efficient virtual machine placement in cloud computing environment
  publication-title: Cluster Comput.
– volume: 88
  year: 2020
  article-title: Chaotic multi‐swarm whale optimizer boosted support vector machine for medical diagnosis
  publication-title: Appl. Soft Comput.
– year: 2017
  article-title: Mums: Energy‐aware vm selection scheme for cloud data center
– volume: 168
  year: 2021
  article-title: Combination of X‐ray tube and GMDH neural network as a nondestructive and potential technique for measuring characteristics of gas‐oil–water three phase flows
  publication-title: Measurement
– volume: 69
  start-page: 46
  year: 2014
  end-page: 61
  article-title: Grey wolf optimizer
  publication-title: Adv. Eng. Software.
– volume: 59
  start-page: 208
  issue: 2
  year: 2016
  end-page: 224
  article-title: Virtual machine customization and task mapping architecture for efficient allocation of cloud data center resources
  publication-title: The Comput. J
– volume: 111
  start-page: 175
  year: 2020
  end-page: 198
  article-title: Multi‐population differential evolution‐assisted Harris hawks optimization: Framework and case studies
  publication-title: Future Gener. Comput. Syst.
– volume: 23
  start-page: 1008
  issue: 8
  year: 2021
  article-title: A fault diagnosis method considering meteorological factors for transmission networks based on P systems
  publication-title: Entropy
– volume: 125
  start-page: 691
  year: 2018
  end-page: 697
  article-title: Exploring data security issues and solutions in cloud computing
  publication-title: Procedia Comput. Sci.
– volume: 24
  year: 2021
  article-title: Photovoltaic properties enhanced by the tunneling effect in a coupled quantum dot photocell
  publication-title: Results Phys.
– start-page: 248
  year: 2020
  end-page: 257
  article-title: Flexible and Efficient Partial Migration of Split‐memory VMs
– volume: 78
  start-page: 481
  year: 2019
  end-page: 490
  article-title: Chaos enhanced grey wolf optimization wrapped ELM for diagnosis of paraquat‐poisoned patients
  publication-title: Comput. Biol. Chem.
– volume: 119
  year: 2020
  article-title: A rough set‐based bio‐inspired fault diagnosis method for electrical substations
  publication-title: Int. J. Electr. Power Energy Syst.
– volume: 75
  year: 2020
  article-title: Application of GMDH neural network technique to improve measuring precision of a simplified photon attenuation based two‐phase flowmeter
  publication-title: J Flow Meas. Instrum.
– start-page: 27
  year: 2016
  end-page: 32
  article-title: On demand virtual machine allocation and migration at cloud data center using hybrid of cat swarm optimization and genetic algorithm
– volume: 1
  start-page: 129
  issue: 2
  year: 2013
  end-page: 141
  article-title: A combinatorial auction‐based mechanism for dynamic VM provisioning and allocation in clouds
  publication-title: IEEE Trans. Cloud Comput.
– volume: 357
  start-page: 39
  issue: 1
  year: 2020
  end-page: 58
  article-title: Stabilization analysis for fuzzy systems with a switched sampled‐data control
  publication-title: J. Franklin Inst.
– start-page: 1
  year: 2020
  end-page: 29
  article-title: Dynamic Gaussian bare‐bones fruit fly optimizers with abandonment mechanism: method and analysis
  publication-title: Eng. Comput.
– start-page: 1
  year: 2020
  end-page: 29
  article-title: Improved chaotic binary grey wolf optimization algorithm for workflow scheduling in green cloud computing
  publication-title: Evol. Intell.
– start-page: 1
  year: 2015
  end-page: 6
  article-title: Novel energy efficient virtual machine allocation at data center using genetic algorithm
– volume: 33
  start-page: 9503
  year: 2021
  end-page: 9519
  article-title: An adaptive regeneration framework based on search space adjustment for differential evolution
  publication-title: Neural Comput. Appl.
– volume: 20
  start-page: 1249
  issue: 4
  year: 2017
  end-page: 1259
  article-title: Simulated annealing based VM placement strategy to maximize the profit for Cloud Service Providers
  publication-title: Eng. Sci. Technol. Int. J.
– volume: 153
  start-page: 211
  year: 2018
  end-page: 225
  article-title: Developing a new intelligent system for the diagnosis of tuberculous pleural effusion
  publication-title: Comput. Methods Programs Biomed.
– volume: 14
  start-page: 1942
  issue: 12
  year: 2020
  end-page: 1948
  article-title: FHCS: Hybridised optimisation for virtual machine migration and task scheduling in cloud data center
  publication-title: IET Commun.
– volume: 10
  start-page: 1851
  issue: 5
  year: 2019
  end-page: 1864
  article-title: A new agent‐based method for QoS‐aware cloud service composition using particle swarm optimization algorithm
  publication-title: J. Ambient Intell. Hum. Comput.
– volume: 12
  start-page: 988
  issue: 1
  year: 2021
  end-page: 1014
  article-title: Risk mitigation for rockfall hazards in steeply dipping coal seam: a case study in Xinjiang, northwestern China
  publication-title: Geomatics Nat. Hazards Risk
– volume: 24
  start-page: 2221
  issue: 10
  year: 2020
  end-page: 2225
  article-title: Multi‐branch deep residual learning for clustering and beamforming in user‐centric network
  publication-title: IEEE Commun. Lett.
– year: 2015
  article-title: A particle swarm optimization algorithm for power‐aware virtual machine allocation
– volume: 455
  start-page: 308
  year: 2021
  end-page: 324
  article-title: Deep cascading network architecture for robust automatic modulation classification
  publication-title: Neurocomputing
– volume: 33
  issue: 5
  year: 2020
  article-title: A cloud service composition method using a trust‐based clustering algorithm and honeybee mating optimization algorithm
  publication-title: Int. J. Commun. Syst.
– volume: 16
  start-page: 854
  issue: 2
  year: 2019
  end-page: 864
  article-title: On feasibility and limitations of detecting false data injection attacks on power grid state estimation using D‐FACTS devices
  publication-title: IEEE Trans. Ind. Inf.
– volume: 14
  start-page: 3944
  issue: 21
  year: 2020
  end-page: 3944
  article-title: Corrigendum: Integration of Internet of Things and cloud computing: a systematic survey
  publication-title: IET Commun.
– volume: 45
  start-page: 479
  issue: 2
  year: 2021
  end-page: 492
  article-title: Joint customer/provider evolutionary multi‐objective utility maximization in cloud data center networks
  publication-title: Iran. J. Sci. Technol., Trans. Electr. Eng.
– volume: 2021
  start-page: 1
  year: 2021
  end-page: 19
  article-title: A fault analysis method for three‐phase induction motors based on spiking neural P systems
  publication-title: Complexity
– ident: e_1_2_9_46_1
  doi: 10.1109/DEXA.2017.43
– ident: e_1_2_9_71_1
  doi: 10.1016/j.apenergy.2021.117257
– ident: e_1_2_9_79_1
  doi: 10.1016/j.nahs.2020.100883
– ident: e_1_2_9_66_1
  doi: 10.1016/j.compbiolchem.2018.11.017
– ident: e_1_2_9_48_1
  doi: 10.1109/JSYST.2018.2872580
– ident: e_1_2_9_87_1
  doi: 10.3390/e23081008
– ident: e_1_2_9_28_1
  doi: 10.1002/dac.4068
– ident: e_1_2_9_47_1
  doi: 10.1109/CLOUD.2019.00062
– ident: e_1_2_9_26_1
  doi: 10.1007/s10586-018-1769-z
– ident: e_1_2_9_54_1
  doi: 10.1007/978-981-10-5026-8_12
– ident: e_1_2_9_7_1
  doi: 10.1016/j.jnca.2017.04.007
– ident: e_1_2_9_50_1
  doi: 10.1007/s11276-018-1874-1
– ident: e_1_2_9_51_1
  doi: 10.1109/COMSNETS48256.2020.9027406
– ident: e_1_2_9_17_1
– ident: e_1_2_9_19_1
  doi: 10.1007/s40998-020-00381-x
– ident: e_1_2_9_44_1
  doi: 10.1109/CLOUD49709.2020.00044
– start-page: 1
  year: 2020
  ident: e_1_2_9_30_1
  article-title: Boosted binary Harris hawks optimizer and feature selection
  publication-title: Eng. Comput.
– ident: e_1_2_9_55_1
  doi: 10.1109/ICACCS.2017.8014639
– ident: e_1_2_9_70_1
  doi: 10.1080/03772063.2020.1792360
– ident: e_1_2_9_56_1
  doi: 10.1109/ACCESS.2017.2733723
– ident: e_1_2_9_75_1
  doi: 10.1109/ICCCNT.2015.7395196
– ident: e_1_2_9_77_1
  doi: 10.1002/rnc.4975
– ident: e_1_2_9_12_1
  doi: 10.1155/2017/6741972
– ident: e_1_2_9_3_1
  doi: 10.1016/j.ins.2020.09.052
– ident: e_1_2_9_59_1
  doi: 10.1109/SIS.2014.7011800
– ident: e_1_2_9_68_1
  doi: 10.1007/s40998-021-00419-8
– ident: e_1_2_9_9_1
  doi: 10.1109/TRO.2020.2981822
– ident: e_1_2_9_45_1
  doi: 10.1108/K-12-2018-0663
– ident: e_1_2_9_37_1
  doi: 10.1016/j.asoc.2019.105946
– ident: e_1_2_9_25_1
  doi: 10.1109/TVT.2020.2997853
– ident: e_1_2_9_33_1
  doi: 10.1016/j.ins.2019.04.022
– ident: e_1_2_9_58_1
  doi: 10.1109/ICSCN.2015.7219897
– ident: e_1_2_9_89_1
  doi: 10.1080/19475705.2021.1909147
– volume: 20
  start-page: 1249
  issue: 4
  year: 2017
  ident: e_1_2_9_57_1
  article-title: Simulated annealing based VM placement strategy to maximize the profit for Cloud Service Providers
  publication-title: Eng. Sci. Technol. Int. J.
– start-page: 1
  year: 2020
  ident: e_1_2_9_73_1
  article-title: Improved chaotic binary grey wolf optimization algorithm for workflow scheduling in green cloud computing
  publication-title: Evol. Intell.
– ident: e_1_2_9_82_1
  doi: 10.1016/j.jfranklin.2019.09.029
– year: 2016
  ident: e_1_2_9_20_1
  article-title: Computing
  publication-title: J. Network Comput. Appl.
– start-page: 1
  year: 2020
  ident: e_1_2_9_52_1
  article-title: Multi‐objective Virtual Machine Selection in Cloud Data Centers Using Optimized Scheduling
  publication-title: Wirel. Pers. Commun.
– ident: e_1_2_9_60_1
  doi: 10.1109/ICCKE.2014.6993461
– ident: e_1_2_9_38_1
  doi: 10.1007/s00500-013-1089-4
– ident: e_1_2_9_83_1
  doi: 10.1016/j.measurement.2020.108427
– ident: e_1_2_9_31_1
  doi: 10.1016/j.knosys.2020.106728
– ident: e_1_2_9_11_1
  doi: 10.1007/978-981-10-6620-7_56
– ident: e_1_2_9_65_1
  doi: 10.1016/j.knosys.2020.106684
– ident: e_1_2_9_8_1
  doi: 10.1002/dac.4259
– start-page: 1
  year: 2020
  ident: e_1_2_9_35_1
  article-title: Dynamic Gaussian bare‐bones fruit fly optimizers with abandonment mechanism: method and analysis
  publication-title: Eng. Comput.
– ident: e_1_2_9_76_1
  doi: 10.1016/j.asoc.2019.105686
– ident: e_1_2_9_24_1
  doi: 10.1109/Eco-friendly.2016.7893236
– ident: e_1_2_9_85_1
  doi: 10.1109/TCSVT.2018.2886277
– ident: e_1_2_9_4_1
  doi: 10.1016/j.future.2018.03.014
– ident: e_1_2_9_72_1
  doi: 10.1109/TII.2019.2922215
– ident: e_1_2_9_43_1
  doi: 10.1016/j.compeleceng.2017.12.032
– ident: e_1_2_9_5_1
  doi: 10.1049/iet-com.2021.0001
– ident: e_1_2_9_69_1
  doi: 10.1016/j.advengsoft.2013.12.007
– ident: e_1_2_9_61_1
  doi: 10.1016/j.cmpb.2017.10.022
– ident: e_1_2_9_23_1
  doi: 10.1109/LWC.2020.3010156
– ident: e_1_2_9_16_1
  doi: 10.1145/3241737
– year: 2020
  ident: e_1_2_9_62_1
  article-title: Proposing a gamma radiation based intelligent system for simultaneous analyzing and detecting type and amount of petroleum by‐products
  publication-title: Nucl.Eng. Technol.
– ident: e_1_2_9_86_1
  doi: 10.1109/TCSVT.2018.2867568
– ident: e_1_2_9_74_1
  doi: 10.1016/j.ijepes.2020.105961
– ident: e_1_2_9_2_1
  doi: 10.7717/peerj-cs.539
– ident: e_1_2_9_64_1
  doi: 10.1111/mice.12684
– ident: e_1_2_9_88_1
  doi: 10.1155/2021/7651393
– ident: e_1_2_9_80_1
  doi: 10.1002/rnc.4856
– ident: e_1_2_9_41_1
  doi: 10.1016/j.asoc.2014.07.024
– ident: e_1_2_9_32_1
  doi: 10.1016/j.neucom.2017.04.060
– ident: e_1_2_9_42_1
  doi: 10.7717/peerj-cs.539
– ident: e_1_2_9_27_1
  doi: 10.1109/TCC.2013.9
– start-page: 1
  year: 2021
  ident: e_1_2_9_39_1
  article-title: SGOA: annealing‐behaved grasshopper optimizer for global tasks
  publication-title: Eng. Comput.
– ident: e_1_2_9_78_1
  doi: 10.1007/s00521-021-05708-1
– year: 2020
  ident: e_1_2_9_22_1
  article-title: Self adaptive fruit fly algorithm for multiple workflow scheduling in cloud computing environment
  publication-title: Kybernetes
– ident: e_1_2_9_36_1
  doi: 10.1016/j.knosys.2020.106642
– start-page: 1
  year: 2021
  ident: e_1_2_9_49_1
  article-title: Managing overloaded hosts for energy‐efficiency in cloud data centers
  publication-title: Cluster Comput
– ident: e_1_2_9_18_1
  doi: 10.1109/LCOMM.2020.3005947
– ident: e_1_2_9_40_1
  doi: 10.1016/j.rinp.2021.104094
– ident: e_1_2_9_15_1
  doi: 10.1049/iet-com.2019.1149
– ident: e_1_2_9_10_1
  doi: 10.1016/j.neucom.2021.05.010
– ident: e_1_2_9_13_1
  doi: 10.1109/ACCESS.2018.2872750
– ident: e_1_2_9_29_1
  doi: 10.1016/j.future.2020.04.008
– ident: e_1_2_9_67_1
  doi: 10.1080/03772063.2017.1409087
– ident: e_1_2_9_6_1
  doi: 10.1016/j.procs.2017.12.089
– ident: e_1_2_9_14_1
  doi: 10.1007/s12652-018-0773-8
– ident: e_1_2_9_53_1
  doi: 10.1109/ACCESS.2019.2911914
– ident: e_1_2_9_63_1
  doi: 10.1016/j.measurement.2020.108474
– ident: e_1_2_9_34_1
  doi: 10.1016/j.knosys.2016.01.002
– ident: e_1_2_9_84_1
  doi: 10.1016/j.flowmeasinst.2020.101804
– ident: e_1_2_9_21_1
  doi: 10.1093/comjnl/bxv106
– ident: e_1_2_9_81_1
  doi: 10.1016/j.engappai.2020.103680
SSID ssj0055644
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Snippet Cloud computing is a rapidly evolving computational technology. It is a distributed computational system that offers dynamically scaled computational...
Abstract Cloud computing is a rapidly evolving computational technology. It is a distributed computational system that offers dynamically scaled computational...
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proquest
crossref
wiley
SourceType Open Website
Aggregation Database
Enrichment Source
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Publisher
StartPage 2342
SubjectTerms Algorithms
Animal populations
Cloud computing
Computer engineering
Energy consumption
Energy efficiency
Entropy
Genetic algorithms
Heuristic
Heuristic methods
improved grey wolf optimization algorithm
Internet software
Optimisation techniques
Optimization
Optimization algorithms
Resource utilization
Software
Traveling salesman problem
Virtual environments
virtual machines allocation
Workloads
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Title A multi‐objective method for virtual machines allocation in cloud data centres using an improved grey wolf optimization algorithm
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