Revenue maximization approaches in IaaS clouds: Research challenges and opportunities-Reference-Cited by-同舟云学术

Revenue maximization approaches in IaaS clouds: Research challenges and opportunities

Published:2022-03-22 Issue:7 Volume:33 Page:
ISSN:2161-3915
Container-title:Transactions on Emerging Telecommunications Technologies
language:en
Short-container-title:Trans Emerging Tel Tech

Author:

Badshah Afzal¹,Ghani Anwar¹^ORCID,Daud Ali²,Chronopoulos Anthony Theodore³⁴,Jalal Ateeqa⁵

Affiliation:

1. Department of Computer Science & Software Engineering International Islamic University Islamabad Pakistan

2. College of Computer Science and Engineering University of Jeddah Jeddah Saudi Arabia

3. Department of Computer Science University of Texas San Antonio Texas USA

4. Department Computer Engineering & Informatics (Visiting Faculty) University of Patras Rio Greece

5. Department of Computer Science University of Science & Technology, Bannu Bannu Pakistan

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ett.4492

Reference165 articles.

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3. Annual forecast of data‐sphere; 2019.www.forbes.com/sites/tomcoughlin/2018/11/27/175‐zettabytes‐by‐2025/#59c815325459//.

4. CISCO users forcast; 2021.https://www.cisco.com/c/en/us/solutions/collateral/executive‐perspectives/annual‐internet‐report/white‐paper‐c11‐741490.html.

5. WangX WangB HuangJ.Cloud computing and its key techniques Computer Science and Automation Engineering (CSAE). Paper presented at: Proceedings of the International Conference on Cloud Computing; 2011:404‐410; IEEE Shanghai China.

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