Mobile Edge Computing Architecture Challenges, Applications, and Future Directions

In the current era of technology, the utilization of tablets and smart phones plays a major role in every situation. As the numbers of mobile users increase, the quality of service (QoS) and quality of experience (QoE) are facing the greater challenges. Thus, this can significantly reduce the latenc...

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Published inInternational journal of grid and high performance computing Vol. 15; no. 2; pp. 1 - 23
Main Authors Teja Sree B, Varma, G P. S, Indukurib, Hemalatha
Format Journal Article
LanguageEnglish
Published Hershey IGI Global 01.01.2023
Subjects
Cellular telephones
Edge computing
Energy storage
Mobile computing
Network latency
Optimization
Parameters
Placement
Power consumption
Quality of service
Quality of service architectures
Smartphones
Surveys
Tablet computers
User statistics
Online AccessGet full text
ISSN1938-0259
1938-0267
1938-0267
DOI10.4018/IJGHPC.316837

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Abstract In the current era of technology, the utilization of tablets and smart phones plays a major role in every situation. As the numbers of mobile users increase, the quality of service (QoS) and quality of experience (QoE) are facing the greater challenges. Thus, this can significantly reduce the latency and optimize the power consumed by the tasks executed locally. Most of the previous works are focused only on quality optimization in the dynamic service layouts. However, they ignored the significant impact of accurate access network selection and perfect service placement. This article performs the detailed survey of various MEC approaches with service provision and adoption. The survey also provides the analysis of various approaches for optimizing the QoS parameters and MEC resources. In this regarding, the survey classifies the approaches based on service placement, network selection, QoS, and QoE parameters, and resources such as latency, energy, bandwidth, memory, storage, and processing.
AbstractList In the current era of technology, the utilization of tablets and smart phones plays a major role in every situation. As the numbers of mobile users increase, the quality of service (QoS) and quality of experience (QoE) are facing the greater challenges. Thus, this can significantly reduce the latency and optimize the power consumed by the tasks executed locally. Most of the previous works are focused only on quality optimization in the dynamic service layouts. However, they ignored the significant impact of accurate access network selection and perfect service placement. This article performs the detailed survey of various MEC approaches with service provision and adoption. The survey also provides the analysis of various approaches for optimizing the QoS parameters and MEC resources. In this regarding, the survey classifies the approaches based on service placement, network selection, QoS, and QoE parameters, and resources such as latency, energy, bandwidth, memory, storage, and processing.
Audience Academic
Author Varma, G P. S
Indukurib, Hemalatha
Teja Sree B
AuthorAffiliation Koneru Lakshmaiah Education Foundation, India
S.R.K.R. Engineering College, India
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Snippet In the current era of technology, the utilization of tablets and smart phones plays a major role in every situation. As the numbers of mobile users increase,...
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SubjectTerms Cellular telephones
Edge computing
Energy storage
Mobile computing
Network latency
Optimization
Parameters
Placement
Power consumption
Quality of service
Quality of service architectures
Smartphones
Surveys
Tablet computers
User statistics
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Title Mobile Edge Computing Architecture Challenges, Applications, and Future Directions
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