File retrieval and storage in the open source cloud tool using digital bipartite and digit compact prefix indexing method
Summary Cloud computing plays a major role in data centers, and its important services are used by the data centers. Data centers are large number of computers that are interrelated to make the cloud services available. Data centers are increasing nowadays to provide a platform to store files, data...
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Veröffentlicht in: | Concurrency and computation 2019-07, Vol.31 (14), p.n/a |
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creator | Priya Ponnuswamy, P. Vidhya Priya, R. Shabari Ram, C.P. |
description | Summary
Cloud computing plays a major role in data centers, and its important services are used by the data centers. Data centers are large number of computers that are interrelated to make the cloud services available. Data centers are increasing nowadays to provide a platform to store files, data applications, etc. Data centers with large storage capacity are the foundation for cloud computing services such as web searching and network storage. Data traffic takes place within and outside the data centers and needs to forward data between servers in the network. In this paper, a new method called digital bipartite and digit compact prefix with hashing technique is used to store and retrieve data in the cloud. The idea is to create a volume of storage for a user within the data center to store their files. Digital bipartite and Digit compact prefix are implemented to store and retrieve the user files efficiently. The implementation is done in OpenStack with a multinode setup. The proposed method compares the insertion time, search time, and throughput with the number of nodes, the number of compute instances, and the number of files for the two algorithms. |
doi_str_mv | 10.1002/cpe.5307 |
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Cloud computing plays a major role in data centers, and its important services are used by the data centers. Data centers are large number of computers that are interrelated to make the cloud services available. Data centers are increasing nowadays to provide a platform to store files, data applications, etc. Data centers with large storage capacity are the foundation for cloud computing services such as web searching and network storage. Data traffic takes place within and outside the data centers and needs to forward data between servers in the network. In this paper, a new method called digital bipartite and digit compact prefix with hashing technique is used to store and retrieve data in the cloud. The idea is to create a volume of storage for a user within the data center to store their files. Digital bipartite and Digit compact prefix are implemented to store and retrieve the user files efficiently. The implementation is done in OpenStack with a multinode setup. The proposed method compares the insertion time, search time, and throughput with the number of nodes, the number of compute instances, and the number of files for the two algorithms.</description><identifier>ISSN: 1532-0626</identifier><identifier>EISSN: 1532-0634</identifier><identifier>DOI: 10.1002/cpe.5307</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc</publisher><subject>Algorithms ; cloud ; Cloud computing ; Computer centers ; data center ; Data centers ; hashing techniques ; Network storage ; OpenStack ; open‐source cloud system ; Servers ; Storage capacity</subject><ispartof>Concurrency and computation, 2019-07, Vol.31 (14), p.n/a</ispartof><rights>2019 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2937-9926129bf27fdf06065a01d249b57e591eb6d28bf5e5cce5ad5d89f59fdc4c4c3</citedby><cites>FETCH-LOGICAL-c2937-9926129bf27fdf06065a01d249b57e591eb6d28bf5e5cce5ad5d89f59fdc4c4c3</cites><orcidid>0000-0002-1690-1503</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fcpe.5307$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fcpe.5307$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27903,27904,45553,45554</link.rule.ids></links><search><creatorcontrib>Priya Ponnuswamy, P.</creatorcontrib><creatorcontrib>Vidhya Priya, R.</creatorcontrib><creatorcontrib>Shabari Ram, C.P.</creatorcontrib><title>File retrieval and storage in the open source cloud tool using digital bipartite and digit compact prefix indexing method</title><title>Concurrency and computation</title><description>Summary
Cloud computing plays a major role in data centers, and its important services are used by the data centers. Data centers are large number of computers that are interrelated to make the cloud services available. Data centers are increasing nowadays to provide a platform to store files, data applications, etc. Data centers with large storage capacity are the foundation for cloud computing services such as web searching and network storage. Data traffic takes place within and outside the data centers and needs to forward data between servers in the network. In this paper, a new method called digital bipartite and digit compact prefix with hashing technique is used to store and retrieve data in the cloud. The idea is to create a volume of storage for a user within the data center to store their files. Digital bipartite and Digit compact prefix are implemented to store and retrieve the user files efficiently. The implementation is done in OpenStack with a multinode setup. The proposed method compares the insertion time, search time, and throughput with the number of nodes, the number of compute instances, and the number of files for the two algorithms.</description><subject>Algorithms</subject><subject>cloud</subject><subject>Cloud computing</subject><subject>Computer centers</subject><subject>data center</subject><subject>Data centers</subject><subject>hashing techniques</subject><subject>Network storage</subject><subject>OpenStack</subject><subject>open‐source cloud system</subject><subject>Servers</subject><subject>Storage capacity</subject><issn>1532-0626</issn><issn>1532-0634</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp1kMFOwzAMhiMEEmMg8QiRuHDpSNKmXY5o2gBpEhzgHKWJu2XqmpKksL092Ya4IR9sWZ9_2z9Ct5RMKCHsQfcw4TmpztCI8pxlpMyL87-alZfoKoQNIZSSnI7QfmFbwB6it_ClWqw6g0N0Xq0A2w7HNWDXQ4eDG7wGrFs3GByda_EQbLfCxq5sTHO17ZWPNsJR4djF2m17pSPuPTR2l-QM7A4zW4hrZ67RRaPaADe_eYw-FvP32XO2fH16mT0uM81EXmVCsJIyUTesakxDSlJyRahhhah5BVxQqEvDpnXDgWsNXBlupqLhojG6SJGP0d1Jt_fuc4AQ5Sb90qWVkrGCC8HFlCXq_kRp70JIB8ve263ye0mJPBgrk7HyYGxCsxP6nazb_8vJ2dv8yP8AmW17aQ</recordid><startdate>20190725</startdate><enddate>20190725</enddate><creator>Priya Ponnuswamy, P.</creator><creator>Vidhya Priya, R.</creator><creator>Shabari Ram, C.P.</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0002-1690-1503</orcidid></search><sort><creationdate>20190725</creationdate><title>File retrieval and storage in the open source cloud tool using digital bipartite and digit compact prefix indexing method</title><author>Priya Ponnuswamy, P. ; Vidhya Priya, R. ; Shabari Ram, C.P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2937-9926129bf27fdf06065a01d249b57e591eb6d28bf5e5cce5ad5d89f59fdc4c4c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Algorithms</topic><topic>cloud</topic><topic>Cloud computing</topic><topic>Computer centers</topic><topic>data center</topic><topic>Data centers</topic><topic>hashing techniques</topic><topic>Network storage</topic><topic>OpenStack</topic><topic>open‐source cloud system</topic><topic>Servers</topic><topic>Storage capacity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Priya Ponnuswamy, P.</creatorcontrib><creatorcontrib>Vidhya Priya, R.</creatorcontrib><creatorcontrib>Shabari Ram, C.P.</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Concurrency and computation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Priya Ponnuswamy, P.</au><au>Vidhya Priya, R.</au><au>Shabari Ram, C.P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>File retrieval and storage in the open source cloud tool using digital bipartite and digit compact prefix indexing method</atitle><jtitle>Concurrency and computation</jtitle><date>2019-07-25</date><risdate>2019</risdate><volume>31</volume><issue>14</issue><epage>n/a</epage><issn>1532-0626</issn><eissn>1532-0634</eissn><abstract>Summary
Cloud computing plays a major role in data centers, and its important services are used by the data centers. Data centers are large number of computers that are interrelated to make the cloud services available. Data centers are increasing nowadays to provide a platform to store files, data applications, etc. Data centers with large storage capacity are the foundation for cloud computing services such as web searching and network storage. Data traffic takes place within and outside the data centers and needs to forward data between servers in the network. In this paper, a new method called digital bipartite and digit compact prefix with hashing technique is used to store and retrieve data in the cloud. The idea is to create a volume of storage for a user within the data center to store their files. Digital bipartite and Digit compact prefix are implemented to store and retrieve the user files efficiently. The implementation is done in OpenStack with a multinode setup. The proposed method compares the insertion time, search time, and throughput with the number of nodes, the number of compute instances, and the number of files for the two algorithms.</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/cpe.5307</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-1690-1503</orcidid></addata></record> |
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subjects | Algorithms cloud Cloud computing Computer centers data center Data centers hashing techniques Network storage OpenStack open‐source cloud system Servers Storage capacity |
title | File retrieval and storage in the open source cloud tool using digital bipartite and digit compact prefix indexing method |
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