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

Complexity

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

Philosophy

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