Workload-Aware Scheduling of Real-Time Jobs in Cloud Computing to Minimize Energy Consumption-Reference-Cited by-同舟云学术

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Workload-Aware Scheduling of Real-Time Jobs in Cloud Computing to Minimize Energy Consumption

Published:2024-01-01 Issue:1 Volume:11 Page:638-652
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Hu Biao¹^ORCID,Shi Yinbin²,Chen Gang³,Cao Zhengcai²^ORCID,Zhou Mengchu⁴^ORCID

Affiliation:

1. College of Engineering, China Agricultural University, Beijing, China

2. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China

3. School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China

4. Helen and John C. Hartmann Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA

Funder

STI2030-Major

National Natural Science Foundation of China

Key-Area Research and Development of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/10375273/10153408.pdf?arnumber=10153408

Reference59 articles.

1. Cooperative expendable micro-slice servers (CEMS): Low cost, low power servers for Internet-scale services;Hamilton

2. Optimized Energy Cost and Carbon Emission-Aware Virtual Machine Allocation in Sustainable Data Centers

3. Survey on energy efficient scheduling techniques on cloud computing

4. Adaptive Energy-Minimized Scheduling of Real-Time Applications in Vehicular Edge Computing

5. Integration of Cloud computing and Internet of Things: A survey

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Cost-Driven Intelligence Scheduling Approach for Deadline-Constrained IoT Workflow Applications in Cloud Computing;IEEE Internet of Things Journal;2024-05-01

2. Tournament based equilibrium optimization for minimizing energy consumption on dynamic task scheduling in cloud-edge computing;Cluster Computing;2024-04-05

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