DAVINCI: online and Dynamic Adaptation of eVolvable vIrtual Network services over Cloud Infrastructures

Lahlou, Laaziz; Kara, Nadjia; Edstrom, Claes

doi:10.1016/j.future.2021.09.017

Cited by 2 publications

(2 citation statements)

References 14 publications

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“…In this kind of man-machine timely feedback dialogue process, students can be one or more, teaching mode can be diversifed, teaching methods can be arbitrary, teaching speed can be multicontrolled, students can ask a question, a question to practice, and the computer provides a problem to solve, a changeable training function. In the process of training, students come into contact with many situations, fnd many problems, and propose many schemes, which broaden their thinking [2].…”

Section: Introductionmentioning

confidence: 99%

Early Education Application Software Based on Artificial Intelligence VR Technology

Zhao

Xie

Wang

et al. 2022

Computational Intelligence and Neuroscience

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In order to solve the problems of restricted classroom and lack of repeated training in good curriculum, the design and development of a school life adaptation curriculum based on VR is proposed. This study identified six life adaptation themes for design and development (recognizing facial expressions, crossing the road, how to get lost, shopping, taking public transport, and job interview) and set the objectives, design principles, specific content, teaching evaluation, and other aspects of virtual reality life adaptation course. Combined with the characteristics of virtual reality, the implementation suggestions and matters needing attention are put forward. The results showed that, in the recognition of human facial expressions, 51 experts thought it was appropriate, 3 experts thought it needed to be modified, and no expert thought it was inappropriate. On the topic of crossing the road, 46 experts thought it was appropriate, eight thought it needed to be modified, and no expert thought it was inappropriate. On the theme of taking public transportation, 48 experts thought it was appropriate, 6 experts thought it needed to be modified, and no expert thought it was inappropriate. For the three major topics of how to get lost, shopping, and job interview, 2-3 experts put forward different opinions and think that the topic is not appropriate mainly because the grade arrangement is not appropriate. Conclusion. The VR-based curriculum for school life adaptation has been reviewed by experts and revised by researchers. It is scientific, interesting, and operable, solves the teaching problems of life adaptation teachers, and provides a safe, reliable, and effective practice channel for students.

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Section: Introductionmentioning

confidence: 99%

Early Education Application Software Based on Artificial Intelligence VR Technology

Zhao

Xie

Wang

et al. 2022

Computational Intelligence and Neuroscience

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show abstract

“…The usual solution is to divide each day into multiple time slices. It obtains the resource demand according to the peak network traffic in each time slice, and actively performs migration before each time slice starts [6] [7][8] [9]. One fundamental problem is to predict the peak network traffic for the next time slice [10].…”

Section: Introductionmentioning

confidence: 99%

Migration and Energy Aware Network Traffic Prediction Method Based on LSTM in NFV Environment

2023

KSII TIIS

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The network function virtualization (NFV) uses virtualization technology to separate software from hardware. One of the most important challenges of NFV is the resource management of virtual network functions (VNFs). According to the dynamic nature of NFV, the resource allocation of VNFs must be changed to adapt to the variations of incoming network traffic. However, the significant delay may be happened because of the reallocation of resources. In order to balance the performance between delay and quality of service, this paper firstly made a compromise between VNF migration and energy consumption. Then, the long short-term memory (LSTM) was utilized to forecast network traffic. Also, the asymmetric loss function for LSTM (LO-LSTM) was proposed to increase the predicted value to a certain extent. Finally, an experiment was conducted to evaluate the performance of LO-LSTM. The results demonstrated that the proposed LO-LSTM can not only reduce migration times, but also make the energy consumption increment within an acceptable range.

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DAVINCI: online and Dynamic Adaptation of eVolvable vIrtual Network services over Cloud Infrastructures

Cited by 2 publications

References 14 publications

Early Education Application Software Based on Artificial Intelligence VR Technology

Early Education Application Software Based on Artificial Intelligence VR Technology

Migration and Energy Aware Network Traffic Prediction Method Based on LSTM in NFV Environment

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