Kurma: Secure Geo-Distributed Multi-Cloud Storage Gateways

被引:3
|
作者
Chen, Ming [1 ]
Zadok, Erez [1 ]
机构
[1] SUNY Stony Brook, Stony Brook, NY 11794 USA
关键词
Multi-cloud; cloud storage gateways; storage security; FILE-SYSTEM;
D O I
10.1145/3319647.3325830
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Cloud storage is highly available, scalable, and cost-efficient. Yet, many cannot store data in cloud due to security concerns and legacy infrastructure such as network-attached storage ( NAS). We describe Kurma, a cloud storage gateway system that allows NAS-based programs to seamlessly and securely access cloud storage. To share files among distant clients, Kurma maintains a unified file-system namespace by replicating metadata across geo-distributed gateways. Kurma stores only encrypted data blocks in clouds, keeps file-system and security metadata on-premises, and can verify data integrity and freshness without any trusted third party. Kurma uses multiple clouds to prevent cloud outage and vendor lock-in. Kurma's performance is 52-91% that of a local NFS server while providing geo-replication, confidentiality, integrity, and high availability.
引用
收藏
页码:109 / 120
页数:12
相关论文
共 50 条
  • [31] Multi-queue scheduling of heterogeneous jobs in hybrid geo-distributed cloud environment
    Li Chunlin
    Tang Jianhang
    Luo Youlong
    The Journal of Supercomputing, 2018, 74 : 5263 - 5292
  • [32] TripS: Automated Multi-tiered Data Placement in a Geo-distributed Cloud Environment
    Oh, Kwangsung
    Chandra, Abhishek
    Weissman, Jon
    SYSTOR'17: PROCEEDINGS OF THE 10TH ACM INTERNATIONAL SYSTEMS AND STORAGE CONFERENCE, 2017,
  • [33] Heterogeneity Shifts the Storage-Computation Tradeoff in Secure Multi-Cloud Systems
    Chen, Jiajun
    Sung, Chi Wan
    Chan, Terence H.
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2023, 69 (02) : 1015 - 1036
  • [34] SpyStorage: A Highly Reliable Multi-Cloud Storage with Secure and Anonymous Data Sharing
    Shen, Pengyan
    Liu, Wan
    Wu, Zheng
    Xiao, Mingzhong
    Xu, Quanqing
    2017 INTERNATIONAL CONFERENCE ON NETWORKING, ARCHITECTURE, AND STORAGE (NAS), 2017, : 256 - 261
  • [35] A Secure Data Storage in Multi-cloud Architecture Using Blowfish Encryption Algorithm
    Ghanmi, Houaida
    Hajlaoui, Nasreddine
    Touati, Haifa
    Hadded, Mohamed
    Muhlethaler, Paul
    ADVANCED INFORMATION NETWORKING AND APPLICATIONS, AINA-2022, VOL 2, 2022, 450 : 398 - 408
  • [36] An efficient and secure privacy preserving multi-cloud storage framework for mobile devices
    Bedi R.K.
    Singh J.
    Gupta S.K.
    International Journal of Computers and Applications, 2021, 43 (05) : 472 - 482
  • [37] GeoCol: A Geo-distributed Cloud Storage System with Low Cost and Latency using Reinforcement Learning
    Wang, Haoyu
    Shen, Haiying
    Li, Zijian
    Tian, Shuhao
    2021 IEEE 41ST INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS 2021), 2021, : 149 - 159
  • [38] Secure and economical multi-cloud storage policy with NSGA-II-C
    Yang, Jie
    Zhu, Haibin
    Liu, Tieqiao
    APPLIED SOFT COMPUTING, 2019, 83
  • [39] Global reduction for geo-distributed MapReduce across cloud federation
    ReDCAD Lab, University of Sfax, Tunisia
    不详
    不详
    Future Gener Comput Syst, 2025, 162
  • [40] Joint Scheduling of Data and Computation in Geo-distributed Cloud Systems
    Yin, Lingyan
    Sun, Jizhou
    Zhao, Laiping
    Cui, Chenzhou
    Xiao, Jian
    Yu, Ce
    2015 15TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND GRID COMPUTING, 2015, : 657 - 666