Damping-Assisted Evolutionary Swarm Intelligence for Industrial IoT Task Scheduling in Cloud Computing-Reference-Cited by-同舟云学术

Damping-Assisted Evolutionary Swarm Intelligence for Industrial IoT Task Scheduling in Cloud Computing

Published:2024-01-01 Issue:1 Volume:11 Page:1698-1710
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Gad Ahmed G.¹^ORCID,Houssein Essam H.²^ORCID,Zhou MengChu³^ORCID,Suganthan Ponnuthurai Nagaratnam⁴^ORCID,Wazery Yaser M.²^ORCID

Affiliation:

1. Faculty of Computers and Information, Kafrelsheikh University, Kafrelsheikh, Egypt

2. Faculty of Computers and Information, Minia University, Minia, Egypt

3. Macao Institute of Systems Engineering and Collaborative Laboratory for Intelligent Science and Systems, Macau University of Science and Technology, Macau, China

4. KINDI Center for Computing Research, College of Engineering, Qatar University, Doha, Qatar

Funder

Fundo para o Desenvolvimento das Ciencias e da Tecnologia

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/ielx7/6488907/10375273/10171225.pdf?arnumber=10171225

Reference57 articles.

1. Dynamic Cloud Task Scheduling Based on a Two-Stage Strategy

2. Toward cloud computing QoS architecture: analysis of cloud systems and cloud services

3. Energy and Reliability-Aware Task Scheduling for Cost Optimization of DVFS-Enabled Cloud Workflows

4. MOELS: Multiobjective Evolutionary List Scheduling for Cloud Workflows

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