An efficient Swarm-Intelligence approach for task scheduling in cloud-based internet of things applications

2018 ◽  
Vol 10 (9) ◽  
pp. 3469-3479 ◽  
Author(s):  
Hamid Reza Boveiri ◽  
Raouf Khayami ◽  
Mohamed Elhoseny ◽  
M. Gunasekaran
Keyword(s):  
Internet Of Things ◽  
Swarm Intelligence ◽  
Task Scheduling ◽  
Intelligence Approach

scholarly journals Development of Self-Synchronized Drones’ Network Using Cluster-Based Swarm Intelligence Approach

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 48010-48022
Author(s):  
Fawaz Alsolami ◽  
Fahad A. Alqurashi ◽  
Mohammad Kamrul Hasan ◽  
Rashid A. Saeed ◽  
S. Abdel-Khalek ◽  
...  
Keyword(s):  
Swarm Intelligence ◽  
Intelligence Approach

scholarly journals Scalable Fog Computing Orchestration for Reliable Cloud Task Scheduling

2021 ◽  
Vol 11 (22) ◽  
pp. 10996
Author(s):  
Jongbeom Lim
Keyword(s):  
Internet Of Things ◽  
Task Scheduling ◽  
Industrial Revolution ◽  
Virtual Machines ◽  
Fog Computing ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
Virtualization Technology ◽  
Computing Environments ◽  
One Machine

As Internet of Things (IoT) and Industrial Internet of Things (IIoT) devices are becoming increasingly popular in the era of the Fourth Industrial Revolution, the orchestration and management of numerous fog devices encounter a scalability problem. In fog computing environments, to embrace various types of computation, cloud virtualization technology is widely used. With virtualization technology, IoT and IIoT tasks can be run on virtual machines or containers, which are able to migrate from one machine to another. However, efficient and scalable orchestration of migrations for mobile users and devices in fog computing environments is not an easy task. Naïve or unmanaged migrations may impinge on the reliability of cloud tasks. In this paper, we propose a scalable fog computing orchestration mechanism for reliable cloud task scheduling. The proposed scalable orchestration mechanism considers live migrations of virtual machines and containers for the edge servers to reduce both cloud task failures and suspended time when a device is disconnected due to mobility. The performance evaluation shows that our proposed fog computing orchestration is scalable while preserving the reliability of cloud tasks.

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