A Novel Taxonomy and Comparison Method for Ranking Cloud Computing Software Products

被引:0
作者
Arianyan, Ehsan [1 ]
Ahmadi, Mohammad Reza [1 ]
Maleki, Davood [2 ]
机构
[1] ITRC, Lucknow, Uttar Pradesh, India
[2] ITRC, Dept Network Secur, Lucknow, Uttar Pradesh, India
来源
INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING | 2016年 / 9卷 / 03期
关键词
Cloud Computing; Comparison; Taxonomy; Service;
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Cloud computing as a new and modern technology has become a focus of attention and a platform for future services. Cloud computing services have been categorized into three main groups of services, which are infrastructure, platform, and software. Each service has its own unique characteristic while all services have also some common characteristics and challenges. Such characteristics create a complicated combination of features to serve selection of cloud solutions. This paper presents a new feature based taxonomy which facilitates the process of cloud software product selection. More precisely, Hierarchical Cloud Taxonomy Engine is the proposed method to help developers and consumers choose their appropriate product according to their needs and based on real capabilities of different cloud computing products. Moreover, this paper proposes a new evaluation mechanism which sorts the cloud products according to the customer's needs and requirements. Besides, this paper presents a classification model for cloud features and subsequently presents a comparison between some business and research cloud products as a case study. Results of comparisons show that our proposed techniques facilitate the process of cloud product selection.
引用
收藏
页码:173 / 190
页数:18
相关论文
共 50 条
  • [41] Taxonomy of DoS and DDoS attacks and desirable defense mechanism in a Cloud computing environment
    Gupta, B. B.
    Badve, Omkar P.
    NEURAL COMPUTING & APPLICATIONS, 2017, 28 (12) : 3655 - 3682
  • [42] Towards a Holistic Cloud Computing Taxonomy: Theoretical & Practical Findings Completed Research
    Rosian, Marvin
    Hagenhoff, Philipp
    Otto, Boris
    DIGITAL INNOVATION AND ENTREPRENEURSHIP (AMCIS 2021), 2021,
  • [43] Research on Function Test Method of Assistant Design Software Based on Cloud Computing
    Wei Yunhua
    2019 11TH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA 2019), 2019, : 88 - 94
  • [44] A Comparison of Cloud Computing Platforms
    Nwobodo, Ikechukwu
    PROCEEDINGS OF THE 2015 AASRI INTERNATIONAL CONFERENCE ON CIRCUITS AND SYSTEMS (CAS 2015), 2015, 9 : 283 - 289
  • [45] PUBLIC CLOUD COMPUTING FOR SOFTWARE AS A SERVICE PLATFORMS
    Sobon, Michal
    Nawrocki, Piotr
    COMPUTER SCIENCE-AGH, 2014, 15 (01): : 89 - 103
  • [46] Teaching cloud computing: A software engineering perspective
    Sommerville, Ian
    JOURNAL OF SYSTEMS AND SOFTWARE, 2013, 86 (09) : 2330 - 2332
  • [47] Cloudware: An Emerging Software Paradigm for Cloud Computing
    Guo, Dong
    Wang, Wei
    Zhang, Jingxuan
    Xiang, Qiao
    Huang, Chenxi
    Chang, Jinda
    Zhang, Liqing
    8TH ASIA-PACIFIC SYMPOSIUM ON INTERNETWARE (INTERNETWARE 2016), 2016, : 1 - 10
  • [48] Hybrid cloud computing monitoring software architecture
    Aktas, Mehmet S.
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2018, 30 (21)
  • [49] Data security in mobile cloud computing paradigm: a survey, taxonomy and open research issues
    Bhatia, Tarunpreet
    Verma, A. K.
    JOURNAL OF SUPERCOMPUTING, 2017, 73 (06) : 2558 - 2631
  • [50] A REVIEW ON SOFTWARE-DEFINED NETWORKING ENABLED IOT CLOUD COMPUTING
    Badotra, Sumit
    Panda, Surya Narayan
    IIUM ENGINEERING JOURNAL, 2019, 20 (02): : 105 - 126