Security Governance in a Multi-Cloud Environment: A systematic Mapping Study

被引:1
|
作者
Witti, Hamad [1 ]
Ghedira-Guegan, Chirine [2 ]
Disson, Eric [3 ]
Boukadi, Khouloud [1 ]
机构
[1] Univ Lyon 3, IAE, Magellan, Lyon, France
[2] Univ Lyon 3, CNRS, IAE, LIRIS,UMR5205, F-69239 Lyon 02, France
[3] Univ Sfax, Mir Cl Lab, Sfax, Tunisia
来源
PROCEEDINGS 2016 IEEE WORLD CONGRESS ON SERVICES - SERVICES 2016 | 2016年
关键词
Multi-cloud; security; security governance; mapping study; MANAGEMENT;
D O I
10.1109/SERVICES.2016.17
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 computing has revolutionized delivery of IT solutions increasing economic advantages, robustness, scalability, elasticity and security. Nowadays to achieve their cloud goals, organizations are increasingly move towards enabling multi-cloud environments which promised to support very large-scale, worldwide, distributed applications using multiple and independent cloud environments. However, given their complexity and distribution, multi-cloud has to face several key challenges around security and governance such as interoperability, portability, provisioning, elasticity, high availability and security. Therefore, these challenges increase the needs of security governance in such environments. Although some researches have been realized in the multi-cloud security domain, it becomes imperative to asses the current state of research and practice of its security governance. This paper aims to categorize the existing works related to security governance in multi-cloud environments by applying a systematic mapping study methodology in order to identify trends and future directions. Our results prove that multi-clouds security governance seems to be a promising area in multi-cloud research and evaluation.
引用
收藏
页码:81 / 86
页数:6
相关论文
共 50 条
  • [21] Systematic and recomputable comparison of multi-cloud management platforms
    Serhiienko, Oleksii
    Spillner, Josef
    2018 16TH IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING TECHNOLOGY AND SCIENCE (CLOUDCOM 2018), 2018, : 107 - 114
  • [22] User preferences oriented cloud service selection in multi-cloud environment
    Liu, Li
    Yang, Letian
    Fan, Qi
    INTERNATIONAL JOURNAL OF COMPUTATIONAL SCIENCE AND ENGINEERING, 2019, 20 (02) : 133 - 145
  • [23] Simultaneous Ammunition for the Data Security and Privacy in the Multi-Cloud Computing
    Bhadlawala, Sunny
    Srivastava, S. S.
    2017 INTERNATIONAL CONFERENCE ON CURRENT TRENDS IN COMPUTER, ELECTRICAL, ELECTRONICS AND COMMUNICATION (CTCEEC), 2017, : 442 - 446
  • [24] Idea: Optimising Multi-Cloud Deployments with Security Controls as Constraints
    Massonet, Philippe
    Luna, Jesus
    Pannetrat, Alain
    Trapero, Ruben
    ENGINEERING SECURE SOFTWARE AND SYSTEMS (ESSOS 2015), 2015, 8978 : 102 - 110
  • [25] A Multi-Recommenders System for Service Provisioning in Multi-Cloud Environment
    Mezni, Haithem
    2017 28TH INTERNATIONAL WORKSHOP ON DATABASE AND EXPERT SYSTEMS APPLICATIONS (DEXA), 2017, : 142 - 146
  • [26] Hybrid encryption framework for securing big data storage in multi-cloud environment
    G. Viswanath
    P. Venkata Krishna
    Evolutionary Intelligence, 2021, 14 : 691 - 698
  • [27] Selection of Cloud Service Providers for Hosting Web Applications in a Multi-cloud Environment
    Ramamurthy, Arun
    Saurabh, Saket
    Gharote, Mangesh
    Lodha, Sachin
    2020 IEEE 13TH INTERNATIONAL CONFERENCE ON SERVICES COMPUTING (SCC 2020), 2020, : 202 - 209
  • [28] A Novel Algorithm for Optimizing Selection of Cloud Instance Types in Multi-cloud Environment
    Liu, Wenqiang
    Wang, Pengwei
    Meng, Ying
    Zou, Guobing
    Zhang, Zhaohui
    2019 IEEE 25TH INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS), 2019, : 167 - 170
  • [29] Hybrid encryption framework for securing big data storage in multi-cloud environment
    Viswanath, G.
    Krishna, P. Venkata
    EVOLUTIONARY INTELLIGENCE, 2021, 14 (02) : 691 - 698
  • [30] SLA-based task scheduling algorithms for heterogeneous multi-cloud environment
    Panda, Sanjaya K.
    Jana, Prasanta K.
    JOURNAL OF SUPERCOMPUTING, 2017, 73 (06) : 2730 - 2762