CLOUD-QM: a quality model for benchmarking cloud-based enterprise information systems

被引:0
|
作者
Sener, Umut [1 ]
Gokalp, Ebru [2 ]
Eren, P. Erhan [1 ]
机构
[1] Middle East Tech Univ, Grad Sch Informat, Ankara, Turkiye
[2] Hacettepe Univ, Dept Comp Engn, Ankara, Turkiye
关键词
Cloud computing; Quality model; Cloud-based enterprise information systems; Benchmarking; Decision making; SOFTWARE QUALITY; SERVICE QUALITY; ADOPTION; SMES;
D O I
10.1007/s11219-024-09669-1
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Organizations are increasingly migrating from on-premise enterprise information systems (EIS) to cloud products due to cloud computing benefits, such as flexibility, elasticity, and on-demand service. However, identifying the most suitable option becomes challenging with the proliferation of Cloud-EIS solutions in the market. To address this challenge, this study introduces a novel quality model named Cloud-QM, based on ISO/IEC 250nn standards. It diagnoses the quality of Cloud-EIS products, benchmarks available options, and identifies the most suitable choice for the organization. Cloud-QM comprises 10 main dimensions, 33 sub-dimensions, and corresponding metrics for a systematic quality assessment. Furthermore, the practical use of Cloud-QM is illustrated through a case study that evaluates two substitute Cloud-EIS products. The results from the case study highlight the effectiveness of Cloud-QM in enabling decision-makers to delve into the quality dimensions and facilitate the selection of the most suitable product for their organizations. The main contributions are as follows: (1) proposing a comprehensive and hierarchically structured quality model for Cloud-EIS products; (2) offering a quantifiable and standardized assessment approach through a set of metrics for quality evaluation; and (3) demonstrating applicability and usability of Cloud-QM by benchmarking Cloud-EIS products.
引用
收藏
页码:881 / 920
页数:40
相关论文
共 50 条
  • [21] A Cloud-Based Trust Model for Evaluating Quality of Web Services
    王守信
    张莉
    王帅
    邱翔
    [J]. Journal of Computer Science & Technology, 2010, 25 (06) : 1130 - 1142
  • [22] A Cloud-Based Trust Model for Evaluating Quality of Web Services
    Wang, Shou-Xin
    Zhang, Li
    Wang, Shuai
    Qiu, Xiang
    [J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2010, 25 (06) : 1130 - 1142
  • [23] A Cloud-Based Trust Model for Evaluating Quality of Web Services
    Shou-Xin Wang
    Li Zhang
    Shuai Wang
    Xiang Qiu
    [J]. Journal of Computer Science and Technology, 2010, 25 : 1130 - 1142
  • [24] Toward A Framework For Data Quality In Cloud-Based Health Information System
    Almutiry, Omar
    Wills, Gary
    Alwabel, Abdulelah
    Crowder, Richard
    WaIters, Robert
    [J]. INTERNATIONAL CONFERENCE ON INFORMATION SOCIETY (I-SOCIETY 2013), 2013, : 153 - 157
  • [25] Evaluating robustness of cloud-based systems
    Chauvel, Franck
    Song, Hui
    Ferry, Nicolas
    Fleurey, Franck
    [J]. JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS, 2015, 4 (01):
  • [26] Cloud-Based Manufacturing and Service Systems
    Chen, Tin-Chih Toly
    [J]. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2017, 32 (04)
  • [27] Towards Cloud-Based Engineering Systems
    Martins, Joao
    Camarinha-Matos, Luis M.
    Goes, Joao
    Gomes, Luis
    [J]. TECHNOLOGICAL INNOVATION FOR CLOUD-BASED ENGINEERING SYSTEMS, 2015, 450 : 3 - 10
  • [28] Risk Assessment for Cloud-Based IT Systems
    Chou, Yuyu
    Oetting, Jan
    [J]. INTERNATIONAL JOURNAL OF GRID AND HIGH PERFORMANCE COMPUTING, 2011, 3 (02) : 1 - 13
  • [29] Consistency in Cloud-based Database Systems
    Mahfoud, Zohra
    Nouali-Taboudjemat, Nadia
    [J]. INFORMATICA-JOURNAL OF COMPUTING AND INFORMATICS, 2019, 43 (03): : 313 - 319
  • [30] DECA: DoD Enterprise Cloud Architecture Concept for Cloud-Based Cross Domain Solutions
    Aguilera, Leo
    Jacobson, Doug
    [J]. AICCC 2021: 2021 4TH ARTIFICIAL INTELLIGENCE AND CLOUD COMPUTING CONFERENCE, 2021, : 165 - 171