A Fault-Tolerant Workflow Scheduling Algorithm for Grid with Near-Optimal Redundancy

Matani, Alemeh; Naji, Hamid Reza; Motallebi, Hassan

doi:10.1007/s10723-020-09522-2

Cited by 11 publications

(4 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Containers are pertinent to effective load balancing, efficient autoscaling, and scheduling 5,7 . An example of work involving containers is by Matani et al 18 , which involves the allocation of resources in a grid environment by using replication techniques to reduce cost and execution time. Another work is by Zhou et al 19 where the scheduling algorithm that comes with containerization smooths the real-time workflow between tasks and processes.…”

Section: Containerization Of Microservicesmentioning

confidence: 99%

Containerized Event-Driven Microservice Architecture

Zuki,

Mohamad,

Saadon

2024

Baghdad Sci.J

View full text Add to dashboard Cite

Microservice architecture offers many advantages, especially for business applications, due to its flexibility, expandability, and loosely coupled structure for ease of maintenance. However, there are several disadvantages that stem from the features of microservices, such as the fact that microservices are independent in nature can hinder meaningful communication and make data synchronization more challenging. This paper addresses the issues by proposing a containerized microservices in an asynchronous event-driven architecture. This architecture encloses microservices in containers and implements an event manager to keep track of all the events in an event log to reduce errors in the application. Experiment results show a decline in response time compared to two other benchmark architectures, as well as a lessening in error rate.

show abstract

Section: Containerization Of Microservicesmentioning

confidence: 99%

Containerized Event-Driven Microservice Architecture

Zuki,

Mohamad,

Saadon

2024

Baghdad Sci.J

View full text Add to dashboard Cite

show abstract

“…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

View full text Add to dashboard Cite

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.

show abstract

“…Resubmission and replication are two fundamental FT mechanisms that have been effectively applied in the cluster [13,14], grid [15][16][17], and cloud [6,18,19]. Resubmission resubmits a task after a failure happens, which can effectively reduce resource consumption.…”

Section: Introductionmentioning

confidence: 99%

Real-time and dynamic fault-tolerant scheduling for scientific workflows in clouds

Chang

et al. 2021

Information Sciences

View full text Add to dashboard Cite

A Fault-Tolerant Workflow Scheduling Algorithm for Grid with Near-Optimal Redundancy

Cited by 11 publications

References 46 publications

Containerized Event-Driven Microservice Architecture

Containerized Event-Driven Microservice Architecture

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

Real-time and dynamic fault-tolerant scheduling for scientific workflows in clouds

Contact Info

Product

Resources

About