Cloud Storage Service Architecture Providing the Eventually Consistent Totally Ordered Commit History of Distributed Key-Value Stores for Data Consistency Verification

Cloud storage services are one of the most popular cloud computing service types these days. Various cloud storage services such as Amazon S3, DropBox, Google Drive, and Microsoft OneDrive currently support billions of users. Nevertheless, data consistency of the underlying distributed key-value sto...

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Autores principales:	Beom-Heyn Kim, Young Yoon
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	cloud computing cloud storage services cloud database systems distributed key-value store data consistency verification Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/80ff8915babb4f488a700c6002e4f7f8
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id	oai:doaj.org-article:80ff8915babb4f488a700c6002e4f7f8
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spelling	oai:doaj.org-article:80ff8915babb4f488a700c6002e4f7f82021-11-11T15:41:45ZCloud Storage Service Architecture Providing the Eventually Consistent Totally Ordered Commit History of Distributed Key-Value Stores for Data Consistency Verification10.3390/electronics102127022079-9292https://doaj.org/article/80ff8915babb4f488a700c6002e4f7f82021-11-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/21/2702https://doaj.org/toc/2079-9292Cloud storage services are one of the most popular cloud computing service types these days. Various cloud storage services such as Amazon S3, DropBox, Google Drive, and Microsoft OneDrive currently support billions of users. Nevertheless, data consistency of the underlying distributed key-value store of cloud storage services remains a serious concern, making potential customers of cloud services hesitate to migrate their data to the cloud. Researchers have explored how to allow clients to verify the behavior of untrusted cloud storage services with respect to consistency models. However, previous proposals are limited because they rely on a strongly consistent history server to provide a totally ordered history for clients. This work presents Relief, a novel cloud storage service exposing an eventually consistent totally ordered commit history of the underlying distributed key-value store to enable client-side data consistency verification for various consistency models. By empirically evaluating our system, we demonstrate that Relief is an efficient solution to overcome the limitation of previous approaches.Beom-Heyn KimYoung YoonMDPI AGarticlecloud computingcloud storage servicescloud database systemsdistributed key-value storedata consistencyverificationElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2702, p 2702 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	cloud computing cloud storage services cloud database systems distributed key-value store data consistency verification Electronics TK7800-8360
spellingShingle	cloud computing cloud storage services cloud database systems distributed key-value store data consistency verification Electronics TK7800-8360 Beom-Heyn Kim Young Yoon Cloud Storage Service Architecture Providing the Eventually Consistent Totally Ordered Commit History of Distributed Key-Value Stores for Data Consistency Verification
description	Cloud storage services are one of the most popular cloud computing service types these days. Various cloud storage services such as Amazon S3, DropBox, Google Drive, and Microsoft OneDrive currently support billions of users. Nevertheless, data consistency of the underlying distributed key-value store of cloud storage services remains a serious concern, making potential customers of cloud services hesitate to migrate their data to the cloud. Researchers have explored how to allow clients to verify the behavior of untrusted cloud storage services with respect to consistency models. However, previous proposals are limited because they rely on a strongly consistent history server to provide a totally ordered history for clients. This work presents Relief, a novel cloud storage service exposing an eventually consistent totally ordered commit history of the underlying distributed key-value store to enable client-side data consistency verification for various consistency models. By empirically evaluating our system, we demonstrate that Relief is an efficient solution to overcome the limitation of previous approaches.
format	article
author	Beom-Heyn Kim Young Yoon
author_facet	Beom-Heyn Kim Young Yoon
author_sort	Beom-Heyn Kim
title	Cloud Storage Service Architecture Providing the Eventually Consistent Totally Ordered Commit History of Distributed Key-Value Stores for Data Consistency Verification
title_short	Cloud Storage Service Architecture Providing the Eventually Consistent Totally Ordered Commit History of Distributed Key-Value Stores for Data Consistency Verification
title_full	Cloud Storage Service Architecture Providing the Eventually Consistent Totally Ordered Commit History of Distributed Key-Value Stores for Data Consistency Verification
title_fullStr	Cloud Storage Service Architecture Providing the Eventually Consistent Totally Ordered Commit History of Distributed Key-Value Stores for Data Consistency Verification
title_full_unstemmed	Cloud Storage Service Architecture Providing the Eventually Consistent Totally Ordered Commit History of Distributed Key-Value Stores for Data Consistency Verification
title_sort	cloud storage service architecture providing the eventually consistent totally ordered commit history of distributed key-value stores for data consistency verification
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/80ff8915babb4f488a700c6002e4f7f8
work_keys_str_mv	AT beomheynkim cloudstorageservicearchitectureprovidingtheeventuallyconsistenttotallyorderedcommithistoryofdistributedkeyvaluestoresfordataconsistencyverification AT youngyoon cloudstorageservicearchitectureprovidingtheeventuallyconsistenttotallyorderedcommithistoryofdistributedkeyvaluestoresfordataconsistencyverification
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Cloud Storage Service Architecture Providing the Eventually Consistent Totally Ordered Commit History of Distributed Key-Value Stores for Data Consistency Verification

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