Cost Optimization for Cloud Storage from User Perspectives: Recent Advances, Taxonomy, and Survey

被引:2
|
作者
Liu, Mingyu [1 ]
Pan, Li [1 ]
Liu, Shijun [1 ]
机构
[1] Shandong Univ, Sch Software, 1500 Shunhua Rd, Jinan, Shandong, Peoples R China
基金
国家重点研发计划;
关键词
Storage-as-a-Service (STaaS); cloud storage; cost optimization; OF-THE-ART; MULTI-FAILURE RESILIENT; EFFECTIVE REPLICATION; CONTENT PLACEMENT; AWARE; EFFICIENT; AVAILABILITY; SERVICE; RELIABILITY; CONSISTENCY;
D O I
10.1145/3582883
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
With the development and maturity of cloud storage, it has attracted a large number of users. Although cloud users do not need to concern themselves with the infrastructure used for storage, thus saving on equipment and maintenance costs, the sheer volume of data still generates significant cloud storage usage costs, which motivates cloud storage users to look for ways to further save costs. In this article, we analyze the whole process of using cloud storage to exhaustively explore opportunities, motivations, and challenges of cost optimization from user perspectives. Then we provide a comprehensive taxonomy and summary of recent advances in terms of storage efficiency (i.e., cost optimization by improving storage efficiency), cloud storage services (i.e., cost optimization by leveraging the features of cloud storage services), and emerging storage paradigms (i.e., cost optimization by leveraging emerging storage paradigms like edge storage). Finally, we present future directions for cost optimization from user perspectives and present our conclusion. This article offers a thorough survey of recent advances focusing on how to optimize the cost of using cloud storage for cloud users, and it has an opportunity to attract a broad audience in the cost-effective cloud storage market.
引用
收藏
页数:37
相关论文
共 50 条
  • [1] Cloud storage cost: a taxonomy and survey
    Khan, Akif Quddus
    Matskin, Mihhail
    Prodan, Radu
    Bussler, Christoph
    Roman, Dumitru
    Soylu, Ahmet
    [J]. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, 2024, 27 (04):
  • [2] A Taxonomy for Cloud Storage Cost
    Khan, Akif Quddus
    Nikolov, Nikolay
    Matskin, Mihhail
    Prodan, Radu
    Bussler, Christoph
    Roman, Dumitru
    Soylu, Ahmet
    [J]. MANAGEMENT OF DIGITAL ECOSYSTEMS, MEDES 2023, 2024, 2022 : 317 - 330
  • [3] Recent Advances in Cloud Storage
    Wu, Jiyi
    Zhang, Jianlin
    Lin, Zhijie
    Ju, Jiehui
    [J]. THIRD INTERNATIONAL SYMPOSIUM ON COMPUTER SCIENCE AND COMPUTATIONAL TECHNOLOGY (ISCSCT 2010), 2010, : 151 - 154
  • [4] A Brief Survey on Recent Advances in Cloud Control Systems
    Xia, Yuanqing
    Zhang, Yuan
    Dai, Li
    Zhan, Yufeng
    Guo, Zehua
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2022, 69 (07) : 3108 - 3114
  • [5] Optimization of Cost: Storage over Cloud Versus on Premises Storage
    Sen, Rajesh
    Sharma, Akrati
    [J]. 2020 IEEE 9TH INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS AND NETWORK TECHNOLOGIES (CSNT 2020), 2020, : 179 - 181
  • [6] Data Storage Management in Cloud Environments: Taxonomy, Survey, and Future Directions
    Mansouri, Yaser
    Toosi, Adel Nadjaran
    Buyya, Rajkumar
    [J]. ACM COMPUTING SURVEYS, 2018, 50 (06)
  • [7] Catalysis in Solid Hydrogen Storage: Recent Advances, Challenges, and Perspectives
    Salman, Muhammad Saad
    Pratthana, Chulaluck
    Lai, Qiwen
    Wang, Ting
    Rambhujun, Nigel
    Srivastava, Kshitij
    Aguey-Zinsou, Kondo-Francois
    [J]. ENERGY TECHNOLOGY, 2022, 10 (09)
  • [8] Flexible and Stretchable Energy Storage: Recent Advances and Future Perspectives
    Liu, Wei
    Song, Min-Sang
    Kong, Biao
    Cui, Yi
    [J]. ADVANCED MATERIALS, 2017, 29 (01)
  • [9] Optimization Techniques in the Localization Problem: A Survey on Recent Advances
    Stefanoni, Massimo
    Sarcevic, Peter
    Sarosi, Jozsef
    Odry, Akos
    [J]. MACHINES, 2024, 12 (08)
  • [10] Decision Diagrams for Discrete Optimization: A Survey of Recent Advances
    Castro, Margarita P.
    Cire, Andre A.
    Beck, J. Christopher
    [J]. INFORMS JOURNAL ON COMPUTING, 2022, 34 (04) : 2271 - 2295