Cloud storage cost: a taxonomy and survey

被引:1
|
作者
Khan, Akif Quddus [1 ]
Matskin, Mihhail [2 ]
Prodan, Radu [3 ]
Bussler, Christoph [4 ]
Roman, Dumitru [5 ,6 ]
Soylu, Ahmet [6 ]
机构
[1] Norwegian Univ Sci & Technol, N-2815 Gjovik, Norway
[2] KTH Royal Inst Technol, Stockholm, Sweden
[3] Univ Klagenfurt, Klagenfurt, Austria
[4] Robert Bosch LLC, Sunnyvale, CA 94085 USA
[5] SINTEF AS, Oslo, Norway
[6] OsloMet Oslo Metropolitan Univ, Oslo, Norway
基金
欧盟地平线“2020”;
关键词
Storage-as-a-Service; Cloud storage; Cost taxonomy; Cost optimization; Multi-cloud; Hybrid cloud; AS-A-SERVICE; DATA REPLICATION; BIG DATA; OPTIMIZATION; EFFICIENT; NETWORK; PERFORMANCE; PLACEMENT; ALGORITHM; SYSTEMS;
D O I
10.1007/s11280-024-01273-4
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
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页数:54
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