Combinatorial meta-heuristics approaches for DVFS-enabled green clouds

Amulu, Lourdes Mary; Ramraj, Ravi

doi:10.1007/s11227-019-02997-1

Cited by 6 publications

(4 citation statements)

References 7 publications

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“…We used Fuzzy FBACO and FBPSO methods presented in [11] to compare with our proposed method. The proposed methods are called simple-Markov and fuzzy-Markov.…”

Section: Discussionmentioning

confidence: 99%

“…The SLA invoice has two criteria: makespan and gain cost, makespan is the time when the request is sent until it is executed and gain cost is the cost of executing the request. In [11], a metaheuristics-based method with the help of DVFS is proposed for the cloud network that used a combination of particle swarm optimization (PSO), ant colony optimization (ACO) methods and fuzzy FBPSO + FBACO decision making to establish green computing. The goal was to increase quality of service (QOS) and optimize SLA evaluation metrics including makespan and green cost.…”

Section: R E T R a C T E Dmentioning

confidence: 99%

“…FIGURE11 Resource allocation utilization assessment considering GainCost changes for TA-Fuzzy + Simple (Markov), FBPSO + FBACO and PSO + ACO methods…”

mentioning

confidence: 99%

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Retracted: Using Markov predictions for handling and allocating task to virtual machines in clouds data centres

Zavieh

Javadpour

et al. 2022

IET Communications

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The above article from IET Communications, published online on 16 December 2022 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the Interim Editor‐in‐Chief, Jian Ren, the Institution of Engineering and Technology (the IET) and John Wiley and Sons Ltd. This article was published as part of a Guest Edited special issue. Following an investigation, the IET and the journal have determined that the article was not reviewed in line with the journal's peer review standards and there is evidence that the peer review process of the special issue underwent systematic manipulation. Accordingly, we cannot vouch for the integrity or reliability of the content. As such we have taken the decision to retract the article. The authors have been informed of the decision to retract.

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“…We used Fuzzy FBACO and FBPSO methods presented in [11] to compare with our proposed method. The proposed methods are called simple-Markov and fuzzy-Markov.…”

Section: Discussionmentioning

confidence: 99%

Section: R E T R a C T E Dmentioning

confidence: 99%

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Retracted: Using Markov predictions for handling and allocating task to virtual machines in clouds data centres

Zavieh

Javadpour

et al. 2022

IET Communications

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“…The analysis of different protocols of IoT for machine to machine enabled communication are given in Tables 1, 2 and 3 with respect to different parameters [2], [19]- [25].…”

Section: Comparison Of Iot Protocolmentioning

confidence: 99%

Machine to machine communication enabled internet of things: a review

Sudarmani

Venusamy

Sivaraman

et al. 2022

IJRES

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Internet of things (IoT) will be the main part in upcoming generation devices that would not simply sense and report, also will have the controlling capability. It may be a connected vehicle, connected devices, robot, a building automation system, a door lock or a thermostat, these connected machines or devices will provide greater impact on our daily lives. Control data and the operating instructions could be protected to ensure control and autonomy for our safety and security, this could be a critical task. Privacy and security are important consideration in designing the system. With the intense growth of devices or devices with facilities such as computing and communication are carried out using a profound technology known as machine to machine (M2M) communication, which is specially designed for cross‐platform integration. In many industries, smart homes, smart cities, smart agriculture, government, connected devices, security, healthcare, education, public safety, and supply chain management. Internet of things (IoT) and machine to machine communication have to be implemented in near future. Also, this paper gives an in depth view about the different M2M techniques with interconnected IoT for truly connected, smart, and sustainable world.

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