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

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

<p dir="ltr">Advancements in the Industrial Internet of Things (IIoT) have yielded massive volumes of data, taxing the capabilities of cloud computing infrastructure. Allocating limited computing resources to numerous incoming requests is crucial for cloud computing and referred to a...

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Bibliographic Details
Main Author: Ahmed G. Gad (11381409) (author)
Other Authors: Essam H. Houssein (17984092) (author), MengChu Zhou (17984095) (author), Ponnuthurai Nagaratnam Suganthan (11274636) (author), Yaser M. Wazery (17984098) (author)
Published: 2024
Subjects:
Engineering
Communications engineering
Information and computing sciences
Information systems
Cloud computing
Industrial Internet of Things
Task analysis
Optimization
Job shop scheduling
Particle swarm optimization
Processor scheduling
Cloud task scheduling
evolutionary computation
power consumption
simulated annealing (SA)
swarm intelligence (SI)
system throughput
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