D2OP: A Fair Dual-Objective Weighted Scheduling Scheme in Internet of Everything-Reference-Cited by-同舟云学术

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D2OP: A Fair Dual-Objective Weighted Scheduling Scheme in Internet of Everything

Published:2023-05-15 Issue:10 Volume:10 Page:9206-9219
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Tong Zhao¹^ORCID,Liu Bilan¹,Mei Jing¹^ORCID,Wang Jiake¹^ORCID,Li Wenbin²^ORCID,Li Keqin³^ORCID

Affiliation:

1. College of Information Science and Engineering, Hunan Normal University, Changsha, China

2. College of Information and Communication Engineering, Hunan Institute of Science and Technology, Yueyang, China

3. Department of Computer Science, State University of New York, New Paltz, NY, USA

Funder

Program of National Natural Science Foundation of China

National Natural Science Foundation of Hunan Province, China

Scientific Research Fund of Hunan Provincial Education Department, China

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/ielx7/6488907/10119650/10005789.pdf?arnumber=10005789

Reference43 articles.

1. A cost saving and load balancing task scheduling model for computational biology in heterogeneous cloud datacenters

2. Smart contract-based caching and data transaction optimization in mobile edge computing

3. QoS-aware service provisioning in fog computing

4. Security-Critical Energy-Aware Task Scheduling for Heterogeneous Real-Time MPSoCs in IoT

5. An Effective Cloud Workflow Scheduling Approach Combining PSO and Idle Time Slot-Aware Rules

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1. Edge Computing for Industry 5.0: Fundamental, Applications, and Research Challenges;IEEE Internet of Things Journal;2024-06-01

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