Cloud algebra : an innovative approach for managing resources, services and big data on clouds
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/20.500.11960/2911 |
Resumo: | In the current era of technological advancements, cloud computing is considered as one of the most promising computing paradigms. It is cost-effective, energy efficient, scalable and is location independent. In simple terms, a cloud computing technology provides various computing tools, facilities and mechanisms as a service to the end user. A user can opt for using these services as a pay-per-use model. This technology is indeed highly cost-effective, environment friendly and is a preferred option for those who don’t want to spend much on infrastructures, platforms or physical space required for setting up the enterprise. Cloud computing technology provides services like Software-as-a-Service (SaaS), Platform-as-aService (PaaS), Infrastructure-as-a-Service (IaaS), Computing-as-a-Service (CaaS) etc. Recently a new service called DaaS (Data-as-a-Service) has also emerged in which data is provided as a service to the users. This paper proposes a concept of creating algebra for the cloud computing environment called as cloud algebra (CA). Using the proposed cloud algebra we can perform several basic mathematical functions like addition, deletion, union, intersection and other aggregate functions on clouds directly. This means that using the proposed cloud algebra, two or more clouds can be added. One cloud may be joined with other clouds and two or more clouds can be compared and so on. Furthermore, the data stored on the clouds can also be effectively and efficiently managed using the proposed cloud algebra. Along with the data, the cloud services and resources can also be managed in a much effective and efficient manner using the proposed cloud algebra. |
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Cloud algebra : an innovative approach for managing resources, services and big data on cloudsEnergy efficiencyCloud computingBig dataCloud query languageCloud algebraPilot computerIn the current era of technological advancements, cloud computing is considered as one of the most promising computing paradigms. It is cost-effective, energy efficient, scalable and is location independent. In simple terms, a cloud computing technology provides various computing tools, facilities and mechanisms as a service to the end user. A user can opt for using these services as a pay-per-use model. This technology is indeed highly cost-effective, environment friendly and is a preferred option for those who don’t want to spend much on infrastructures, platforms or physical space required for setting up the enterprise. Cloud computing technology provides services like Software-as-a-Service (SaaS), Platform-as-aService (PaaS), Infrastructure-as-a-Service (IaaS), Computing-as-a-Service (CaaS) etc. Recently a new service called DaaS (Data-as-a-Service) has also emerged in which data is provided as a service to the users. This paper proposes a concept of creating algebra for the cloud computing environment called as cloud algebra (CA). Using the proposed cloud algebra we can perform several basic mathematical functions like addition, deletion, union, intersection and other aggregate functions on clouds directly. This means that using the proposed cloud algebra, two or more clouds can be added. One cloud may be joined with other clouds and two or more clouds can be compared and so on. Furthermore, the data stored on the clouds can also be effectively and efficiently managed using the proposed cloud algebra. Along with the data, the cloud services and resources can also be managed in a much effective and efficient manner using the proposed cloud algebra.2022-11-29T18:49:00Z2020-01-01T00:00:00Z20202022-10-21T11:40:15Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/20.500.11960/2911eng2032-944X10.4108/eai.13-7-2018.162687Ahad, Mohd AbdulTripathi, GautamiPaiva, Sarainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-21T14:43:43Zoai:repositorio.ipvc.pt:20.500.11960/2911Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:44:39.398950Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Cloud algebra : an innovative approach for managing resources, services and big data on clouds |
title |
Cloud algebra : an innovative approach for managing resources, services and big data on clouds |
spellingShingle |
Cloud algebra : an innovative approach for managing resources, services and big data on clouds Ahad, Mohd Abdul Energy efficiency Cloud computing Big data Cloud query language Cloud algebra Pilot computer |
title_short |
Cloud algebra : an innovative approach for managing resources, services and big data on clouds |
title_full |
Cloud algebra : an innovative approach for managing resources, services and big data on clouds |
title_fullStr |
Cloud algebra : an innovative approach for managing resources, services and big data on clouds |
title_full_unstemmed |
Cloud algebra : an innovative approach for managing resources, services and big data on clouds |
title_sort |
Cloud algebra : an innovative approach for managing resources, services and big data on clouds |
author |
Ahad, Mohd Abdul |
author_facet |
Ahad, Mohd Abdul Tripathi, Gautami Paiva, Sara |
author_role |
author |
author2 |
Tripathi, Gautami Paiva, Sara |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Ahad, Mohd Abdul Tripathi, Gautami Paiva, Sara |
dc.subject.por.fl_str_mv |
Energy efficiency Cloud computing Big data Cloud query language Cloud algebra Pilot computer |
topic |
Energy efficiency Cloud computing Big data Cloud query language Cloud algebra Pilot computer |
description |
In the current era of technological advancements, cloud computing is considered as one of the most promising computing paradigms. It is cost-effective, energy efficient, scalable and is location independent. In simple terms, a cloud computing technology provides various computing tools, facilities and mechanisms as a service to the end user. A user can opt for using these services as a pay-per-use model. This technology is indeed highly cost-effective, environment friendly and is a preferred option for those who don’t want to spend much on infrastructures, platforms or physical space required for setting up the enterprise. Cloud computing technology provides services like Software-as-a-Service (SaaS), Platform-as-aService (PaaS), Infrastructure-as-a-Service (IaaS), Computing-as-a-Service (CaaS) etc. Recently a new service called DaaS (Data-as-a-Service) has also emerged in which data is provided as a service to the users. This paper proposes a concept of creating algebra for the cloud computing environment called as cloud algebra (CA). Using the proposed cloud algebra we can perform several basic mathematical functions like addition, deletion, union, intersection and other aggregate functions on clouds directly. This means that using the proposed cloud algebra, two or more clouds can be added. One cloud may be joined with other clouds and two or more clouds can be compared and so on. Furthermore, the data stored on the clouds can also be effectively and efficiently managed using the proposed cloud algebra. Along with the data, the cloud services and resources can also be managed in a much effective and efficient manner using the proposed cloud algebra. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01T00:00:00Z 2020 2022-11-29T18:49:00Z 2022-10-21T11:40:15Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/20.500.11960/2911 |
url |
http://hdl.handle.net/20.500.11960/2911 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2032-944X 10.4108/eai.13-7-2018.162687 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
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reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799131531809128448 |