Fault tolerance for a scientific workflow system in a Cloud computing environment

Khaldi, Miloud; Rebbah, Mohammed; Meftah, Boudjelal; Smail, Omar

doi:10.1080/1206212x.2019.1647651

Cited by 18 publications

(13 citation statements)

References 50 publications

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“…When the rule table stored by the RS is inconsistent with the rule table cached by the Client, a corresponding strategy must be adopted to solve the problem of inconsistent rule tables. To solve this problem, the Lazy mechanism can be used [16][17].…”

Section: Design and Implementation Of Fault Tolerance Mechanism For C...mentioning

confidence: 99%

Performance Optimization Technology of Fault Tolerance Mechanism in Distributed System Based on Neural Network

2022

DPS

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In the era of big data, distributed systems(DS) have to deal with more and more data, and the possibility of system hardware failure is higher and higher. Traditional disk arrays can no longer meet the high reliability requirements of large-scale distributed clusters. Data fault tolerance has become an important problem in DSs. In order to ensure the reliability of data processing in DSs and continue to provide users with high-quality services, the performance optimization of fault-tolerant mechanisms has become an important research content in DSs. Aiming at the distributed core storage framework proposed in this paper, the fault-tolerant mechanism of its client module and metadata storage management module is designed and implemented, and the performance of the DS is tested through the performance optimization experiment of fault-tolerant mechanism. The experimental results of Prime-based and neural network-based data inpainting show that the neural network-based data inpainting technology can reduce the network cost of data inpainting. The experimental results of distributed computing delay based on radial basis neural network algorithm, C.T. algorithm and Pedone algorithm show that the delay time of RBF algorithm tends to converge with the increase of MRR.

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Section: Design and Implementation Of Fault Tolerance Mechanism For C...mentioning

confidence: 99%

Performance Optimization Technology of Fault Tolerance Mechanism in Distributed System Based on Neural Network

2022

DPS

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“…Their objectives include resource utilisation and energy efficiency. The other goals also were used in [23] as makespan, cost, and deadline to present an FTS method as FT‐HCC for workflow scheduling in the Cloud.…”

Section: Related Workmentioning

confidence: 99%

Fault‐tolerant with load balancing scheduling in a fog‐based IoT application

Sharif

Nickray²,

Shahidinejad

2020

IET Communications

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“…The current methods address both load balancing and fault tolerance in grid environments separately [ 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 ]. The method proposed in this paper deals with each of them within one framework by combining some classical methods based on fractal transform and entropy computation for reducing the complexity of data to obtain an optimal method for rendering the grid structure.…”

Section: Related Workmentioning

confidence: 99%

The Application of Fractal Transform and Entropy for Improving Fault Tolerance and Load Balancing in Grid Computing Environments

Khorsheed

Zainel

Hassen

et al. 2020

Entropy

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This paper applies the entropy-based fractal indexing scheme that enables the grid environment for fast indexing and querying. It addresses the issue of fault tolerance and load balancing-based fractal management to make computational grids more effective and reliable. A fractal dimension of a cloud of points gives an estimate of the intrinsic dimensionality of the data in that space. The main drawback of this technique is the long computing time. The main contribution of the suggested work is to investigate the effect of fractal transform by adding R-tree index structure-based entropy to existing grid computing models to obtain a balanced infrastructure with minimal fault. In this regard, the presented work is going to extend the commonly scheduling algorithms that are built based on the physical grid structure to a reduced logical network. The objective of this logical network is to reduce the searching in the grid paths according to arrival time rate and path’s bandwidth with respect to load balance and fault tolerance, respectively. Furthermore, an optimization searching technique is utilized to enhance the grid performance by investigating the optimum number of nodes extracted from the logical grid. The experimental results indicated that the proposed model has better execution time, throughput, makespan, latency, load balancing, and success rate.

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Fault tolerance for a scientific workflow system in a Cloud computing environment

Cited by 18 publications

References 50 publications

Performance Optimization Technology of Fault Tolerance Mechanism in Distributed System Based on Neural Network

Performance Optimization Technology of Fault Tolerance Mechanism in Distributed System Based on Neural Network

Fault‐tolerant with load balancing scheduling in a fog‐based IoT application

The Application of Fractal Transform and Entropy for Improving Fault Tolerance and Load Balancing in Grid Computing Environments

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