REQUIREMENTS ENGINEERING FOR CLOUD COMPUTING ADAPTIVE MODEL

被引:0
|
作者
Surendro, Kridanto [1 ]
Aradea [1 ]
Supriana, Iping [1 ]
机构
[1] Bandung Inst Technol, Sch Elect Engn & Informat, Bandung, Indonesia
关键词
requirements engineering; adaptive model; cloud computing; goal-oriented; capability maturity model;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The easy access and flexibility provided by cloud computing have made various types of organizations use this technology as an alternative solution. However, the decision to use the cloud technology sometimes ignores the basic aspects related to the understanding of its compliance with the characteristics of the organization. Thus, many advantages of the adoption of the technology do not align with the needs. This paper discusses the requirements engineering of the alignment of the organizational characteristics and the cloud computing technology in order to create the adaptive ability to guide strategic-business driven organizations. The model proposed in this article is formulated based on three views: architectural, alignment, and adaptive, by employing the Goal-Oriented Requirements Engineering. As a case study, the model is applied to cloud computing for university. The architectural view can translate the environmental characteristics of organizations through goal decomposition into detailed needs. Meanwhile, the alignment view can meet the implementation, so the dynamic adaptive ability can be realized through the adaptivity view. The mechanism of our proposed model can cover the adaptation needs before the migration (pre-migration), during the migration, and after the migration (post-migration).
引用
收藏
页码:1 / 17
页数:17
相关论文
共 50 条
  • [1] Requirements Engineering for Cloud Computing: A Comparison Framework
    Wind, Stefan
    Schroedl, Holger
    [J]. WEB INFORMATION SYSTEMS ENGINEERING - WISE 2010 WORKSHOPS, 2011, 6724 : 404 - 415
  • [2] Cloud computing for the architecture, engineering & construction sector: Requirements, prototype & experience
    Beach T.H.
    Rana O.F.
    Rezgui Y.Y.
    Parashar M.
    [J]. Journal of Cloud Computing: Advances, Systems and Applications, 2 (1):
  • [3] HYDROTAM: A Coastal Engineering Model Based on Cloud Computing
    Balas, Lale
    Cebe, Kagan
    Akay, Nedim
    [J]. MEDCOAST 11, VOLS 1 AND 2, 2011, : 663 - +
  • [4] A Model for Adaptive and Distributed Intrusion Detection for Cloud Computing
    Ibrahim, Nurudeen Mahmud
    Zainal, Anazida
    [J]. 2018 SEVENTH ICT INTERNATIONAL STUDENT PROJECT CONFERENCE (ICT-ISPC), 2018, : 12 - +
  • [5] Adaptive Market Place for Converged Cloud Computing Model
    Musa, Ibrahim Kabiru
    Walker, Stuart D.
    [J]. 2013 8TH INTERNATIONAL CONFERENCE FOR INTERNET TECHNOLOGY AND SECURED TRANSACTIONS (ICITST), 2013, : 601 - 606
  • [6] Adaptive Security Management Model in the Cloud Computing Environment
    Jung, Youngmin
    Chung, Mokdong
    [J]. 12TH INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION TECHNOLOGY: ICT FOR GREEN GROWTH AND SUSTAINABLE DEVELOPMENT, VOLS 1 AND 2, 2010, : 1664 - 1669
  • [7] Engineering Adaptive Requirements
    Qureshi, Nauman A.
    Perini, Anna
    [J]. 2009 ICSE WORKSHOP ON SOFTWARE ENGINEERING FOR ADAPTIVE AND SELF-MANAGING SYSTEMS, 2009, : 126 - 131
  • [8] Security Considerations and Requirements for Cloud Computing
    Ghaffari, Fariba
    Gharaee, Hossein
    Forouzandehdoust, Mohammad Reza
    [J]. 2016 8TH INTERNATIONAL SYMPOSIUM ON TELECOMMUNICATIONS (IST), 2016, : 105 - 110
  • [9] A Framework Architecture Based Model For Cloud Computing Adaptive Migration
    Abderrahim, Wiem
    Choukair, Zied
    [J]. 2014 GLOBAL INFORMATION INFRASTRUCTURE AND NETWORKING SYMPOSIUM (GIIS), 2014,
  • [10] Performance Engineering for Cloud Computing
    Murphy, John
    [J]. COMPUTER PERFORMANCE ENGINEERING, 2011, 6977 : 1 - 9