Mobile synchronization framework to enhance large object management in mobile cloud storage service

Supporting large file upload and retrieval is crucial for the mobile cloud storage services, as file sizes are trending larger and mobile users’ access or share files in large size. These files range from large PDFs to media files in various formats such as MPEG videos. These files need to be use...

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Main Author:	Faniband, Yunus Parvej
Format:	Thesis
Language:	English
Published:	2021
Subjects:	Mobile computing Cloud computing
Online Access:	http://psasir.upm.edu.my/id/eprint/104061/1/FSKTM%202022%201%20IR.pdf
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id	my-upm-ir.104061
record_format	uketd_dc
spelling	my-upm-ir.1040612023-07-07T02:26:34Z Mobile synchronization framework to enhance large object management in mobile cloud storage service 2021-06 Faniband, Yunus Parvej Supporting large file upload and retrieval is crucial for the mobile cloud storage services, as file sizes are trending larger and mobile users’ access or share files in large size. These files range from large PDFs to media files in various formats such as MPEG videos. These files need to be used offline, sometimes updated and shared among users. The mobile environment with frequent disconnections and limited bandwidth, impact the data and transaction management as well as the data consistency guarantees. Most of the mobile frameworks use a data-sync paradigm in order to handle disconnected operations, in which data is stored locally on the device and replicated to the cloud asynchronously. Many applications are storing large amounts of structured and unstructured data. However, it is challenging for mobile synchronization frameworks to manage data consistency in such environment. This is due to the fact that handling large data and maintaining consistency are very challenging in cases of local storage and updates. This research proposes an enhanced cloud-based mobile synchronization framework to address the two main problems that is data management for large objects and end-to-end support for data consistency for large objects. This research work proposes techniques to improve large file object access and synchronization in mobile cloud environment based on segmentation and object chunking. This framework mainly focuses on large file handling and providing support for both table and objects data models that can be tuned for three consistency semantics: resembling strong, causal and eventual consistency. Experimental results conducted using representative workloads showed that the proposed enhanced Mobile Synchronization framework can handle large files with the size ranging from 100MiB up to 1GiB and is able to reduce synchronization time with object chunking (2, 4, 8 and 16 MiB) in the experiment settings by 65.4% for upload and 93.7% for download on average when compared to other frameworks. Mobile computing Cloud computing 2021-06 Thesis http://psasir.upm.edu.my/id/eprint/104061/ http://psasir.upm.edu.my/id/eprint/104061/1/FSKTM%202022%201%20IR.pdf text en public doctoral Universiti Putra Malaysia Mobile computing Cloud computing Ishak, Iskandar
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
advisor	Ishak, Iskandar
topic	Mobile computing Cloud computing
spellingShingle	Mobile computing Cloud computing Faniband, Yunus Parvej Mobile synchronization framework to enhance large object management in mobile cloud storage service
description	Supporting large file upload and retrieval is crucial for the mobile cloud storage services, as file sizes are trending larger and mobile users’ access or share files in large size. These files range from large PDFs to media files in various formats such as MPEG videos. These files need to be used offline, sometimes updated and shared among users. The mobile environment with frequent disconnections and limited bandwidth, impact the data and transaction management as well as the data consistency guarantees. Most of the mobile frameworks use a data-sync paradigm in order to handle disconnected operations, in which data is stored locally on the device and replicated to the cloud asynchronously. Many applications are storing large amounts of structured and unstructured data. However, it is challenging for mobile synchronization frameworks to manage data consistency in such environment. This is due to the fact that handling large data and maintaining consistency are very challenging in cases of local storage and updates. This research proposes an enhanced cloud-based mobile synchronization framework to address the two main problems that is data management for large objects and end-to-end support for data consistency for large objects. This research work proposes techniques to improve large file object access and synchronization in mobile cloud environment based on segmentation and object chunking. This framework mainly focuses on large file handling and providing support for both table and objects data models that can be tuned for three consistency semantics: resembling strong, causal and eventual consistency. Experimental results conducted using representative workloads showed that the proposed enhanced Mobile Synchronization framework can handle large files with the size ranging from 100MiB up to 1GiB and is able to reduce synchronization time with object chunking (2, 4, 8 and 16 MiB) in the experiment settings by 65.4% for upload and 93.7% for download on average when compared to other frameworks.
format	Thesis
qualification_level	Doctorate
author	Faniband, Yunus Parvej
author_facet	Faniband, Yunus Parvej
author_sort	Faniband, Yunus Parvej
title	Mobile synchronization framework to enhance large object management in mobile cloud storage service
title_short	Mobile synchronization framework to enhance large object management in mobile cloud storage service
title_full	Mobile synchronization framework to enhance large object management in mobile cloud storage service
title_fullStr	Mobile synchronization framework to enhance large object management in mobile cloud storage service
title_full_unstemmed	Mobile synchronization framework to enhance large object management in mobile cloud storage service
title_sort	mobile synchronization framework to enhance large object management in mobile cloud storage service
granting_institution	Universiti Putra Malaysia
publishDate	2021
url	http://psasir.upm.edu.my/id/eprint/104061/1/FSKTM%202022%201%20IR.pdf
_version_	1776100401959927808

Mobile synchronization framework to enhance large object management in mobile cloud storage service

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