A scheduling-based dynamic fog computing framework for augmenting resource utilization

Hossain, Md. Razon; Whaiduzzaman, Md; Barros, Alistair; Tuly, Shelia Rahman; Mahi, Md. Julkar Nayeen; Roy, Shanto; Fidge, Colin; Buyya, Rajkumar

doi:10.1016/j.simpat.2021.102336

Cited by 32 publications

(12 citation statements)

References 20 publications

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“…According to projections, a self-driving car would create roughly one petabyte of data per hour. To drive safely and effectively, vehicles must be able to observe their surroundings and make judgments based on all available data, ecologically sustainable control systems [20], [52] and massive processing and storage capacity. A parent may also be presented in autonomous mode, exhibiting the large statistics features.…”

Section: Big Data Protocol Intelligence In Vanetsmentioning

confidence: 99%

A Review on VANET Research: Perspective of Recent Emerging Technologies

et al. 2022

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Recent technology has modeled VANET (vehicular adhoc network) communication well in terms of privileges to derive vehicular communication technologically to save time, energy, and money. Due to the increase in powerful technology in modern times, VANETs play a vital role in uplifting daily concerns across vehicles and vehicular identities. Hence, to tune VANETs to become compatible with traditional technologies and increase demand, VANETs require upgrading. The severity and frequency of unwanted occurrences have become a considerable concern for our day-to-day lives relating to vehicular position. Thus, verily updated methodologies or working procedures are needed for the future VANET interplay to eradicate such problems occurring through vehicular identities. This article outlines in technology related to VANETS, future developments, and coping issues by deriving comprehensive frameworks, workflow patterns, upgrading procedures including big data, fog computing, SDN (software defined networking), and SIoT (social Internet of Things). This review article previews an in-depth VANET upgrade possibility to address future problem managements under a range of acceptable scientific themes, indicators, and combinations.

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Section: Big Data Protocol Intelligence In Vanetsmentioning

confidence: 99%

A Review on VANET Research: Perspective of Recent Emerging Technologies

et al. 2022

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“…IoT is helping lung cancer diagnosis [34]. Fog computing plays a vital role for augmenting resource utilization [35]. Cloud computing is helping to analyse people sentiment [36] and dynamic task scheduling algorithms can make it more efficient [37].…”

Section: Literature Reviewmentioning

confidence: 99%

IoT based Low-cost Posture and Bluetooth Controlled Robot for Disabled and Virus Affected People

Akhund¹,

Hossain²,

Kubra³

et al. 2022

IJACSA

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IoT-based robots can help people to a great extent. This work results in a low-cost posture recognizer robot that can detect posture signs from a disabled or virus-affected person and move accordingly. The robot can take images with the Raspberry Pi camera and process the image to identify the posture with our designed algorithm. In addition, it can also take instructions via Bluetooth from smartphone apps. The robot can move 360 degrees depending on the input posture or Bluetooth. This system can assist disabled people who can move a few organs only. Moreover, this system can assist virus-affected persons as they can instruct the robot without touching it. Finally, the robot can collect data from a distant place and send it to a cloud server without spreading the virus.

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“…e introduction of the IoT technology in intelligent manufacturing places new and higher demands on data sensing, collection, consolidation, transmission, and reverse control in smart factories. At the same time, the spread of intelligent devices and terminals and the use of various kinds of sensors will bring about ubiquitous sensing and connectivity, generating a constant ow of industrial data [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

A Heuristic Task Scheduling Strategy for Intelligent Manufacturing in the Big Data-Driven Fog Computing Environment

Zhou

2022

Mobile Information Systems

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A heuristic task scheduling strategy for intelligent manufacturing in the big data-driven fog computing environment is proposed to address the problem that current resource scheduling and allocation methods in the fog computing environment cannot comprehensively consider the dynamics and uncertainty of resources, resulting in the prolonged delay and high energy consumption. First, a system model with three computing modes for intelligent manufacturing is constructed based on intelligent terminal devices, fog nodes, fog servers, fog gateways, and the cloud. Then, the objective function is optimized by jointly considering the delay matrix, the energy consumption matrix, and the reliability matrix, and corresponding constraints are given based on the selection of computing modes, the decision variables of fog nodes as well as the constraints about the delay. Finally, the intervals of crossover-mutation operators are divided according to the fitness value, and individuals of the population are updated by taking different operations based on the operators in different intervals, so as to achieve an improvement on the traditional genetic algorithms. Meanwhile, a fog resource scheduling algorithm is proposed based on the improved adaptive genetic algorithm. Simulation experiments are conducted to compare and analyze the delay, energy consumption, and reliability of the proposed method with three other methods under the same conditions. The results show that the proposed method has the lowest delay and energy consumption and the highest reliability, with values of 361.3 s, 352.4 J, and 94.6%, respectively, when the number of task requests is 500. The performance is better than the other three comparison methods.

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A scheduling-based dynamic fog computing framework for augmenting resource utilization

Cited by 32 publications

References 20 publications

A Review on VANET Research: Perspective of Recent Emerging Technologies

A Review on VANET Research: Perspective of Recent Emerging Technologies

IoT based Low-cost Posture and Bluetooth Controlled Robot for Disabled and Virus Affected People

A Heuristic Task Scheduling Strategy for Intelligent Manufacturing in the Big Data-Driven Fog Computing Environment

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