Abstract
This paper aims to introduce a new artifact in the cloud computing (CC) discipline that directs and supports management in organizations in choosing the right approach to embrace CC. This artifact is a business process architecture (BPA) that presents and simplifies the field and generates a bird’s-eye view for its users. It also solves technological preparedness, complexity, and compatibility problems that companies meet while transforming into CC. The artifact contains the core elements of CC and identifies its main processes. A qualitative approach is adopted for data collection and analysis using semi-structured interviews with experts in addition to the literature review of CC resources. The Riva BPA is nominated as an object-based BPA method to build this artifact. Riva’s primary fundamental step is finding the essential business entities (EBEs) of the domain they have agreed on, cloud computing. These EBEs are the cornerstones that present the CC discipline and are utilized to continue the development of a CC business process architecture (CCBPA). EBEs are translated into Riva units of work (UOWs) and their dependent 1st and 2nd cut process architectures. The final CCBPA has been evaluated by validating its main elements by experts in the cloud computing domain. Eventually, the new CCBPA shows advantages in understanding the CC discipline and presenting an approach for organizations to prepare and plan the host of cloud technology in their business, in addition to its support of integration between cloud computing and other related disciplines.
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References
Al Kurdi, O. F. (2021). A critical comparative review of emergency and disaster management in the Arab world. Journal of Business and Socio-economic Development, 1(1), 24–46.
Al-Ramahi, N., & Odeh, M. (2020). The impact of innovative technology on the quality assurance at higher education institutions in developing countries: A case study of Jordan. International Journal of Information and Education Technology, 10, 826–831.
Arif, H., Hajjdiab, H., Al Harbi, F., & Ghazal, M. (2019). A comparison between Google cloud service and iCloud (pp. 337–340).
Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R. H., Konwinski, A., Lee, G., et al. (2009). Above the clouds: A Berkeley view of cloud computing (Technical report UCB/EECS-2009-28) (Vol. 17). EECS Department, University of California.
Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., & Stoica, I. (2010). A view of cloud computing. Communications of the ACM, 53(4), 50–58.
Buyya, R., Yeo, C. S., & Venugopal, S. (2008). Market-oriented cloud computing: Vision, hype, and reality for delivering it services as computing utilities. In 2008 10th IEEE international conference on high performance computing and communications (pp. 5–13). IEEE.
Dijkman, R., Vanderfeesten, I., & Reijers, H. A. (2016). Business process architectures: Overview, comparison and framework. Enterprise Information Systems, 10(2), 129–158.
Dumas, M., La Rosa, M., Mendling, J., & Reijers, H. A. (2013). Fundamentals of business process management (Vol. 1), Heidelberg: Springer.
Gonzalez-Lopez, F., & Bustos, G. (2019). Business process architecture design methodologies–a literature review. Business Process Management Journal, 25(6), 1317–1334.
Halpert, B. (2011). Auditing cloud computing: A security and privacy guide (Vol. 21). Wiley.
Huberman, M., & Miles, M. B. (2002). The qualitative researcher’s companion. Sage.
Hugos, M. H., & Hulitzky, D. (2010). Business in the cloud: What every business needs to know about cloud computing. Wiley.
Jamsa, K. (2012). Cloud computing.
Jansen, W. A., & Grance, T. (2011). Guidelines on security and privacy in public cloud computing.
Joshi, N., & Shah, S. (2019). A comprehensive survey of services provided by prevalent cloud computing environments. In Smart intelligent computing and applications (pp. 413–424).
Karahanna, E., & Straub, D. W. (1999). The psychological origins of perceived usefulness and ease-of-use. Information & Management, 35(4), 237–250.
Lehrig, S., Eikerling, H., & Becker, S. (2015). Scalability, elasticity, and efficiency in cloud computing: A systematic literature review of definitions and metrics. In Proceedings of the 11th international ACM SIGSOFT conference on quality of software architectures (pp. 83–92).
Liu, X., & Prybutok, V. R. (2021). An empirical investigation of factors that drive a user decision to continue using cloud storage services. Journal of Decision Systems, 30(1), 4–26.
Liu, F., Tong, J., Mao, J., Bohn, R., Messina, J., Badger, L., & Leaf, D. (2011). NIST cloud computing reference architecture. NIST Special Publication, 500(2011), 1–28.
Lynn, T., et al. (2020). Understanding the determinants and future challenges of cloud computing adoption for high performance computing. Future Internet, 12(8), 135.
Malinova, M., Leopold, H., & Mendling, J. (2013). An empirical investigation on the design of process architectures.
Masdari, M., Nabavi, S. S., & Ahmadi, V. (2016). An overview of virtual machine placement schemes in cloud computing. Journal of Network and Computer Applications, 66, 106–127.
Odeh, M. M. (2019). A proposed theoretical solution for transferring from physical to virtual machines based on cloud computing. In 2019 5th international conference on information management (ICIM) (pp. 221–226). IEEE.
Odeh, M. (2020). A novel framework for the adoption of cloud computing in the higher education sector in developing countries. International Journal of Scientific & Technology Research, 9(02), 5660–5667.
Odeh, M., & Yousef, M. (2021). The effect of Covid-19 on the electronic payment system: Usage level trust and competence perspectives. Indonesian Journal of Electrical Engineering and Computer Science, 22(2), 1144–1155.
Ould, M. A. (2005). Business process management: A rigorous approach. BCS, The Chartered Institute.
Papadopoulos, A. V., Versluis, L., Bauer, A., Herbst, N., Von Kistowski, J., Ali-Eldin, A., Abad, C., Amaral, J. N., Tůma, P., & Iosup, A. (2019). Methodological principles for reproducible performance evaluation in cloud computing. IEEE Transactions on Software Engineering, 47(8), 1528–1543.
Rao, T. V. N., Naveena, K., & David, R. (2015). A new computing environment using hybrid cloud. Journal of Information Sciences and Computing Technologies, 3(1), 180–185.
Samhan, A., Odeh, M., Kossmann, M., & Tbakhi, A. (2018). Business process architecture-driven change management applied to a cancer care organization in a systems of systems context (pp. 205–214).
Seethamraju, R. (2015). Adoption of software as a service (SaaS) enterprise resource planning (ERP) systems in small and medium sized enterprises (SMEs). Information Systems Frontiers, 17(3), 475–492.
Siebel, T. M. (2019). Digital transformation: Survive and thrive in an era of mass extinction. RosettaBooks.
Sultan, N. (2010). Cloud computing for education: A new dawn? International Journal of Information Management, 30(2), 109–116.
Sultan, N. (2014). Discovering the potential of cloud computing in accelerating the search for curing serious illnesses. International Journal of Information Management, 34(2), 221–225.
Tsui, E., Cheong, R. K., & Sabetzadeh, F. (2011). Cloud-based personal knowledge management as a service (PKMaaS) In 2011 International Conference on Computer Science and Service System (CSSS) (pp. 2152–2155). IEEE.
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Sabri, M.O., Odeh, M. (2023). Development of a Cloud Business Process Architecture Using the Riva Method. In: Al Mubarak, M., Hamdan, A. (eds) Technological Sustainability and Business Competitive Advantage . Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-031-35525-7_28
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