Performance-Aware Cost-Effective Resource Provisioning for Future Grid IoT-Cloud System-Reference-Cited by-同舟云学术

Performance-Aware Cost-Effective Resource Provisioning for Future Grid IoT-Cloud System

Published:2019-10 Issue:5 Volume:145 Page:04019016
ISSN:0733-9402
Container-title:Journal of Energy Engineering
language:en
Short-container-title:J. Energy Eng.

Author:

Li Weiling¹,Liao Kewen²^ORCID,He Qiang³,Xia Yunni⁴

Affiliation:

1. Doctor, School of Computer Science, Chongqing Univ., Chongqing 400044, China.

2. Lecturer, College of Engineering, IT and Environment, Charles Darwin Univ., Sydney, NSW 2027, Australia. ORCID: .

3. Senior Lecturer, School of Software and Electrical Engineering, Swinburne Univ. of Technology, Melbourne, VIC 3122, Australia.

4. Professor, School of Computer Science, Chongqing Univ., Chongqing 400044, China (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Waste Management and Disposal,Energy Engineering and Power Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29EY.1943-7897.0000611

Reference47 articles.

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2. Amekraz Z. and M. Youssef. 2017. “Prediction of amazon spot price based on chaos theory using anfis model.” In Proc. 2016 IEEE/ACS 13th Int. Conf. of Computer Systems and Applications (AICCSA) 1–6. Washington DC: IEEE.

3. IoT-Cloud Service Optimization in Next Generation Smart Environments

4. Botta A. W. D. Donato V. Persico and A. Pescape. 2014. “On the integration of cloud computing and internet of things.” In Proc. Int. Conf. on Future Internet of Things and Cloud 23–30. Washington DC: IEEE.

5. The internet of energy: a web-enabled smart grid system

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