A PSO-Based Energy-Efficient Fault-Tolerant Static Scheduling Algorithm for Real-Time Tasks in Clouds

Guo, Pengze; Liu, Ming; Zhi, Xue

doi:10.1109/compcomm.2018.8781005

Cited by 13 publications

(2 citation statements)

References 6 publications

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“…Also, a faulttolerant period scheduling algorithm was implemented to reduce deadlines, makespan time, and load imbalance. Guo et al [90] proposed a hybrid algorithm based on particle swarm optimization (EFTP) called energy-efficient faulttolerant static scheduling for period tasks in clouds. For fault tolerance, the primary backup (PB) model is used.…”

Section: Hybrid Proactive Fault Tolerance and Dynamic Load Balancingmentioning

confidence: 99%

Cloud Dynamic Load Balancing and Reactive Fault Tolerance Techniques: A Systematic Literature Review (SLR)

et al. 2022

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The computational cloud aims to move traditional computing from personal computers to cloud providers on the internet. Cloud security represents an important research area. Confidentiality, integrity, and availability are the main cloud security characteristics addressed. Cloud providers apply dynamic load balancing and reactive fault tolerance techniques to build secure cloud services to achieve high service availability. Dynamic cloud load balancing approaches distribute submitted tasks to virtual machines during tasks execution and the load of virtual machines is updated based on the system's state. Reactive cloud fault tolerance is activated for system process failures after failure effectively happens. Reactive cloud fault tolerance handles failure after the fault has occurred. Despite the significance of dynamic load balancing and reactive fault tolerance techniques and mechanisms, few reviews focus on these approaches in a systematic, unbiased method focusing on integrating cloud dynamic load balancing and reactive fault tolerance techniques. This paper conducts a systematic literature review of the existing literature concerning reactive fault tolerance, dynamic load balancing, and their integration in their basic approaches, types, frameworks, and future directions.

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Section: Hybrid Proactive Fault Tolerance and Dynamic Load Balancingmentioning

confidence: 99%

Cloud Dynamic Load Balancing and Reactive Fault Tolerance Techniques: A Systematic Literature Review (SLR)

et al. 2022

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“…The neural network is demanding on the choice of data inputs while the UV cannot provide when encountering fault cases, which shares the same concern with the greedy algorithm, as the greedy algorithm needs to decompose the data for processing [28][29][30]. Hence the swarm intelligence algorithm for optimization stands out to be a preferable method to tackle the FTC application of UVs due to its flexibility of data inputs and fast convergence speed [31][32][33]. Zhu's group has applied Particle Swarm Optimization (PSO) based FTC on the unmanned underwater vehicle, though satisfactory torque outputs are achieved, the traditional PSO method shows poor real-time feedback, which does not conform to the online requirement of UV FTCs [34,35].…”

Section: Introductionmentioning

confidence: 99%

A GOA-Based Fault-Tolerant Trajectory Tracking Control for an Underwater Vehicle of Multi-Thruster System without Actuator Saturation

Zhu,

Wang,

Zhang

et al. 2023

Preprint

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This paper proposes an intelligent fault-tolerant control (FTC) strategy to tackle the trajectory tracking problem of an underwater vehicle (UV) under thruster damage (power loss) cases and meanwhile resolve the actuator saturation brought by the vehicle's physical constraints. In the proposed control strategy, the trajectory tracking component is formed by a refined backstepping algorithm that controls the velocity variation and a sliding mode control deducts the torque/force outputs; the fault-tolerant component is established based on a Grasshopper Optimization Algorithm (GOA), which provides fast convergence speed as well as satisfactory accuracy of deducting optimized reallocation of the thruster forces to compensate for the power loss in different fault cases. Simulations with or without environmental perturbations under different fault cases and comparisons to other traditional FTCs are presented, thus verifying the effectiveness and robustness of the proposed GOAbased fault-tolerant trajectory tracking design.Note to Practitioners: This paper is motivated by the actuator saturation problem that exists in the trajectory tracking of an underwater vehicle (UV) when encountering power loss of the thruster system. The fault-tolerance trajectory tracking performance is affected by physical constraints of the vehicle when using the traditional methods as they may deduct excessive kinematic/dynamic requirements during the control process, thus inducing the deviation of the tracking trajectory. Therefore, the refined backstepping as well as the grasshopper optimization (GOA) are combined to eliminate the excess, where the refined backstepping is used to alleviate the speed jumps (kinematic outputs) and the GOA is to control the propulsion forces (dynamic outputs) when facing thruster fault cases. This innovates the industrial practitioners that the control design of the vehicle can be improved to avoid the tracking deviation brought by unsatisfied driving commands under fault cases through embedding optimization algorithms. Moreover, for the specific type of UV studied in this paper used for dam detection, simulations regarding practical dam detection such as the 3D polygonal line trajectory tracking and the frequently occurring UV single-fault cases are chosen, which can serve as references for practitioners working in the related field. In the future, underwater experiments of the UV will be investigated, with more effects of the practical environment involved.

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A hybrid energy-aware algorithm for virtual machine placement in cloud computing

Yousefi,

Babamir

2024

Computing

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A PSO-Based Energy-Efficient Fault-Tolerant Static Scheduling Algorithm for Real-Time Tasks in Clouds

Cited by 13 publications

References 6 publications

Cloud Dynamic Load Balancing and Reactive Fault Tolerance Techniques: A Systematic Literature Review (SLR)

Cloud Dynamic Load Balancing and Reactive Fault Tolerance Techniques: A Systematic Literature Review (SLR)

A GOA-Based Fault-Tolerant Trajectory Tracking Control for an Underwater Vehicle of Multi-Thruster System without Actuator Saturation

A hybrid energy-aware algorithm for virtual machine placement in cloud computing

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