Study QoS Optimization and Energy Saving Techniques in Cloud, Fog, Edge, and IoT
Joint Authors
Qu, Zhiguo
Wang, Yilin
Sun, Le
Peng, Dandan
Li, Zheng
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-03-16
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
With an increase of service users’ demands on high quality of services (QoS), more and more efficient service computing models are proposed.
The development of cloud computing, fog computing, and edge computing brings a number of challenges, e.g., QoS optimization and energy saving.
We do a comprehensive survey on QoS optimization and energy saving in cloud computing, fog computing, edge computing, and IoT environments.
We summarize the main challenges and analyze corresponding solutions proposed by existing works.
This survey aims to help readers have a deeper understanding on the concepts of different computing models and study the techniques of QoS optimization and energy saving in these models.
American Psychological Association (APA)
Qu, Zhiguo& Wang, Yilin& Sun, Le& Peng, Dandan& Li, Zheng. 2020. Study QoS Optimization and Energy Saving Techniques in Cloud, Fog, Edge, and IoT. Complexity،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1145296
Modern Language Association (MLA)
Qu, Zhiguo…[et al.]. Study QoS Optimization and Energy Saving Techniques in Cloud, Fog, Edge, and IoT. Complexity No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1145296
American Medical Association (AMA)
Qu, Zhiguo& Wang, Yilin& Sun, Le& Peng, Dandan& Li, Zheng. Study QoS Optimization and Energy Saving Techniques in Cloud, Fog, Edge, and IoT. Complexity. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1145296
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1145296