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Cloud storage cost: a taxonomy and survey

Khan, Akif Quddus (författare)
Norwegian University of Science and Technology, 2815, Gjøvik, Norway
Matskin, Mihhail, 1956- (författare)
KTH,Programvaruteknik och datorsystem, SCS
Prodan, Radu (författare)
University of Klagenfurt, Klagenfurt, Austria
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Bussler, Christoph (författare)
Robert Bosch LLC, 94085-94090, Sunnyvale, CA, USA
Roman, Dumitru (författare)
SINTEF AS, Oslo, Norway; OsloMet – Oslo Metropolitan University, Oslo, Norway
Soylu, Ahmet (författare)
OsloMet – Oslo Metropolitan University, Oslo, Norway
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 (creator_code:org_t)
Springer, 2024
2024
Engelska.
Ingår i: World wide web (Bussum). - : Springer. - 1386-145X .- 1573-1413. ; 27:4
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Cloud service providers offer application providers with virtually infinite storage and computing resources, while providing cost-efficiency and various other quality of service (QoS) properties through a storage-as-a-service (StaaS) approach. Organizations also use multi-cloud or hybrid solutions by combining multiple public and/or private cloud service providers to avoid vendor lock-in, achieve high availability and performance, and optimise cost. Indeed cost is one of the important factors for organizations while adopting cloud storage; however, cloud storage providers offer complex pricing policies, including the actual storage cost and the cost related to additional services (e.g., network usage cost). In this article, we provide a detailed taxonomy of cloud storage cost and a taxonomy of other QoS elements, such as network performance, availability, and reliability. We also discuss various cost trade-offs, including storage and computation, storage and cache, and storage and network. Finally, we provide a cost comparison across different storage providers under different contexts and a set of user scenarios to demonstrate the complexity of cost structure and discuss existing literature for cloud storage selection and cost optimization. We aim that the work presented in this article will provide decision-makers and researchers focusing on cloud storage selection for data placement, cost modelling, and cost optimization with a better understanding and insights regarding the elements contributing to the storage cost and this complex problem domain.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences (hsv//eng)

Nyckelord

Cloud storage
Cost optimization
Cost taxonomy
Hybrid cloud
Multi-cloud
Storage-as-a-Service

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