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311991

Swarm Intelligence based Fault-Tolerant Real-Time Cloud Scheduler

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Last updated: 28 Dec 2024

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Abstract

 Cloud computing is a distributed computing paradigm that is deployed in many real-life applications. Many of these
applications are real-time such as scientific computing, financial transactions, etc. Therefore, improving the
dependability of cloud environments is extremely important to fulfill the reliability and availability requirements of different applications, especially real-time applications. Fault tolerance is the most common approach for improving the system's dependability. In addition to traditional fault tolerance techniques such as replication, job migration, software
rejuvenation, etc, fault-tolerant scheduling algorithms can play a great role toward more dependable systems. In this
paper, an ACO based fault-tolerant soft real-time cloud scheduler is developed to minimize deadlines missing rate,
makespan, and the imbalance in distributing the workload among the different machines. The performance of proposed
scheduler has been assessed under different scenarios. Also, it has been compared to other well-known scheduling
algorithms and the experimental results have shown the superiority of the proposed algorithm. 

DOI

10.21608/mjcis.2018.311991

Keywords

Real-Time Applications, Ant Colony Optimization, Fault Tolerance, Cloud Scheduling

Authors

First Name

A. S.

Last Name

Abohamama

MiddleName

-

Affiliation

Computer Science Dept. University of Mansoura

Email

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City

-

Orcid

-

First Name

M.

Last Name

F. Alrahmawy

MiddleName

-

Affiliation

Computer Science Dept. University of Mansoura

Email

-

City

-

Orcid

-

First Name

Mohamed

Last Name

A. Elsoud

MiddleName

-

Affiliation

Computer Science Dept. University of Mansoura

Email

-

City

-

Orcid

-

First Name

Taher

Last Name

T. Hamza

MiddleName

-

Affiliation

Computer Science Dept. University of Mansoura

Email

-

City

-

Orcid

-

Volume

14

Article Issue

1

Related Issue

42819

Issue Date

2018-06-01

Receive Date

2023-08-10

Publish Date

2018-06-01

Page Start

17

Page End

26

Print ISSN

2090-1666

Online ISSN

2090-1674

Article File

MJCIS_Volume 14_Issue 1_Pages 17-26.pdf

PDF . 829.9kB

Link

https://mjcis.journals.ekb.eg/article_311991.html

Detail API

https://mjcis.journals.ekb.eg/service?article_code=311991

Order

311,991

Type

Original Research Articles.

Type Code

1,784

Publication Type

Journal

Publication Title

Mansoura Journal for Computer and Information Sciences

Publication Link

https://mjcis.journals.ekb.eg/

MainTitle

Swarm Intelligence based Fault-Tolerant Real-Time Cloud Scheduler

Details

Type

Article

Created At

28 Dec 2024