Challenges in migrating legacy software systems to the cloud an empirical study

被引:29
作者
Gholami, Mahdi Fahmideh [1 ]
Daneshgar, Farhad [2 ]
Beydoun, Ghassan [3 ]
Rabhi, Fethi [4 ]
机构
[1] Univ New South Wales, Sydney, NSW, Australia
[2] Univ New South Wales, UNSW Business Sch, Sydney, NSW, Australia
[3] Univ Technol Sydney, Informat Syst, Sydney, NSW, Australia
[4] Univ New South Wales, Sch Comp Sci & Engn, Sydney, NSW, Australia
关键词
Cloud computing; Legacy systems; Cloud migration; Cloud migration process; INFORMATION-SYSTEMS; ADOPTION; MODEL; IDENTIFICATION; GUIDELINES; MANAGEMENT; METAMODEL;
D O I
10.1016/j.is.2017.03.008
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Moving existing legacy systems to cloud platforms is a difficult and high cost process that may involve technical and non-technical resources and challenges. There is evidence that the lack of understanding and preparedness of cloud computing migration underpin many migration failures in achieving organisations' goals. The main goal of this article is to identify the most important challenging activities for moving legacy systems to cloud platforms from a perspective of reengineering process. Through a combination of a bottom-up and a top-down analysis, a set of common activities is derived from the extant cloud computing literature. These are expressed as a model and are validated using a population of 104 shortlisted and randomly selected domain experts from different industry sectors. We used a Web-based survey questionnaire to collect data and analysed them using SPSS Sample T-Test. The results of this study highlight the most important and critical challenges that should be addressed by various roles within a legacy to cloud migration endeavour. The study provides an overall understanding of this process including common occurring activities, concerns and recommendations. In addition, the findings of this study constitute a practical guide to conduct this transition. This guide is platform agnostic and independent from any specific migration scenario, cloud platform, or an application domain. (C) 2017 Published by Elsevier Ltd.
引用
收藏
页码:100 / 113
页数:14
相关论文
共 50 条
  • [21] An empirical study on predicting cloud incidents
    Roumani, Yaman
    Nwankpa, Joseph K.
    [J]. INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2019, 47 : 131 - 139
  • [22] Software Evolution of Legacy Systems A Case Study of Soft-migration
    Fuernweger, Andreas
    Auer, Martin
    Biffl, Stefan
    [J]. PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL 1 (ICEIS), 2016, : 413 - 424
  • [23] How Do Professionals Perceive Legacy Systems and Software Modernization?
    Khadka, Ravi
    Batlajery, Belfrit V.
    Saeidi, Amir M.
    Jansen, Slinger
    Hage, Jurriaan
    [J]. 36TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE 2014), 2014, : 36 - 47
  • [24] SOFTWARE TECHNOLOGY Service-Oriented Architecture and Legacy Systems
    Serrano, Nicolas
    Hernantes, Josune
    Gallardo, Gorka
    [J]. IEEE SOFTWARE, 2014, 31 (05) : 15 - 19
  • [25] Migrating Load Testing to the Cloud: A Case Study
    Gao, Qiang
    Wang, Wei
    Wu, Guoquan
    Li, Xuan
    Wei, Jun
    Zhong, Hua
    [J]. 2013 IEEE SEVENTH INTERNATIONAL SYMPOSIUM ON SERVICE-ORIENTED SYSTEM ENGINEERING (SOSE 2013), 2013, : 429 - 434
  • [26] Green cloud computing adoption challenges and practices: a client's perspective-based empirical investigation
    Ahmad, Ashfaq
    Khan, Rafiq Ahmad
    Khan, Siffat Ullah
    Alwageed, Hathal Salamah
    Al-Atawi, Abdullah A.
    Lee, Youngmoon
    [J]. COGNITION TECHNOLOGY & WORK, 2023, 25 (04) : 427 - 446
  • [27] MIGRATING LEGACY SYSTEMS TO A SERVICE-ORIENTED ARCHITECTURE WITH OPTIMAL GRANULARITY
    Alahmari, Saad
    Zaluska, Ed
    De Roure, David
    [J]. ICEIS 2010: PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL 1: DATABASES AND INFORMATION SYSTEMS INTEGRATION, 2010, : 198 - 207
  • [28] A Risk Perception Indicator to Evaluate the Migration of Government Legacy Systems to the Cloud
    Costa, Breno
    Barreto, Priscila Solis
    [J]. INTERNATIONAL JOURNAL OF INFORMATION SYSTEMS IN THE SERVICE SECTOR, 2021, 13 (01) : 68 - 87
  • [29] Cloud control systems and their challenges
    Xia Y.-Q.
    [J]. Zidonghua Xuebao Acta Auto. Sin., 1 (1-12): : 1 - 12
  • [30] Evaluating Distributed Computing Infrastructures: An Empirical Study Comparing Hadoop Deployments on Cloud and Local Systems
    Bhattacharya, Devipsita
    Currim, Faiz
    Ram, Sudha
    [J]. IEEE TRANSACTIONS ON CLOUD COMPUTING, 2021, 9 (03) : 1075 - 1088