Adaptive and fault-tolerant scheduling for effective data storing in healthcare community using cloud computing

Cloud computing is growing fast and spreading more into an aspect of our life. Apart from traditional web services such as searching, webmail and online education, many organizations, enterprise, personal developers and even individuals could make use of Cloud computing services. Healthcare communit...

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Bibliographic Details
Main Author:	Muhammad, Aliyu
Format:	Thesis
Language:	English
Published:	2019
Subjects:	Cloud computing Information storage and retrieval systems Community health services
Online Access:	http://psasir.upm.edu.my/id/eprint/82952/1/FSKTM%202019%2037%20IR.pdf
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id	my-upm-ir.82952
record_format	uketd_dc
spelling	my-upm-ir.829522020-07-24T02:24:52Z Adaptive and fault-tolerant scheduling for effective data storing in healthcare community using cloud computing 2019-06 Muhammad, Aliyu Cloud computing is growing fast and spreading more into an aspect of our life. Apart from traditional web services such as searching, webmail and online education, many organizations, enterprise, personal developers and even individuals could make use of Cloud computing services. Healthcare community services are one of the vital aspects of our life. The volume of data the healthcare industries has to collect and manage are growing rapidly over the past decade. The Cloud infrastructure is helping healthcare organizations use large volumes of collected data to be effectively and efficiently managed, also to develop better clinical responses. Single Cloud Data Centers have a limitation of physical resources, thus, leveraging cloud confederation is a good approach to solve the limitation problems, but issues arise when it comes to selection for optimal CDC among the confederated CDC to complete a task. In this work, adaptive and fault-tolerant scheduling approach for securing healthcare information is developed for a multi-Cloud Environment, where we use fuzzy logic for selection decision and square matrix multiplication for predictions of healthy/unhealthy resources. Cloudsim is used for the simulation system of our FT-FnF model and shows a better result in regards to users Qos, Providers profit, and resource utilization compared to the FnF model. Cloud computing Information storage and retrieval systems Community health services 2019-06 Thesis http://psasir.upm.edu.my/id/eprint/82952/ http://psasir.upm.edu.my/id/eprint/82952/1/FSKTM%202019%2037%20IR.pdf text en public masters Universiti Putra Malaysia Cloud computing Information storage and retrieval systems Community health services Hussin, Masnida
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
advisor	Hussin, Masnida
topic	Cloud computing Information storage and retrieval systems Community health services
spellingShingle	Cloud computing Information storage and retrieval systems Community health services Muhammad, Aliyu Adaptive and fault-tolerant scheduling for effective data storing in healthcare community using cloud computing
description	Cloud computing is growing fast and spreading more into an aspect of our life. Apart from traditional web services such as searching, webmail and online education, many organizations, enterprise, personal developers and even individuals could make use of Cloud computing services. Healthcare community services are one of the vital aspects of our life. The volume of data the healthcare industries has to collect and manage are growing rapidly over the past decade. The Cloud infrastructure is helping healthcare organizations use large volumes of collected data to be effectively and efficiently managed, also to develop better clinical responses. Single Cloud Data Centers have a limitation of physical resources, thus, leveraging cloud confederation is a good approach to solve the limitation problems, but issues arise when it comes to selection for optimal CDC among the confederated CDC to complete a task. In this work, adaptive and fault-tolerant scheduling approach for securing healthcare information is developed for a multi-Cloud Environment, where we use fuzzy logic for selection decision and square matrix multiplication for predictions of healthy/unhealthy resources. Cloudsim is used for the simulation system of our FT-FnF model and shows a better result in regards to users Qos, Providers profit, and resource utilization compared to the FnF model.
format	Thesis
qualification_level	Master's degree
author	Muhammad, Aliyu
author_facet	Muhammad, Aliyu
author_sort	Muhammad, Aliyu
title	Adaptive and fault-tolerant scheduling for effective data storing in healthcare community using cloud computing
title_short	Adaptive and fault-tolerant scheduling for effective data storing in healthcare community using cloud computing
title_full	Adaptive and fault-tolerant scheduling for effective data storing in healthcare community using cloud computing
title_fullStr	Adaptive and fault-tolerant scheduling for effective data storing in healthcare community using cloud computing
title_full_unstemmed	Adaptive and fault-tolerant scheduling for effective data storing in healthcare community using cloud computing
title_sort	adaptive and fault-tolerant scheduling for effective data storing in healthcare community using cloud computing
granting_institution	Universiti Putra Malaysia
publishDate	2019
url	http://psasir.upm.edu.my/id/eprint/82952/1/FSKTM%202019%2037%20IR.pdf
_version_	1747813335221403648

Adaptive and fault-tolerant scheduling for effective data storing in healthcare community using cloud computing

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