Abstract
Cloud computing adoption provides various advantages for companies. In particular, hybrid cloud shares the advantages of both the public and private cloud technologies because it combines the private in-house cloud with the public on-demand cloud. In order to obtain benefits from the opportunities provided by the hybrid cloud, organizations want to adopt or develop novel capabilities. Maturity models have proved to be an exceptional and easily available method for evaluating and improving capabilities. However, there is a dire need for a robust framework that helps client organizations in the adoption and assessment of hybrid cloud. Therefore, this research paper aims to present a taxonomy of the challenging factors faced by client organizations in the adoption of hybrid cloud. Typically, such a taxonomy is presented on the basis of obtained results from the empirical analysis with the execution of analytical hierarchy process (AHP) method. From the review of literature and empirical study, in total 13 challenging factors are recognized and plotted into four groups: “Lack of Inclination,” “Lack of Readiness,” “Lack of Adoption,” and “Lack of Satisfaction.” The AHP technique is executed to prioritize the identified factors and their groups. By this way, we found that “Lack of Adoption” and “Lack of Satisfaction” are the most significant groups from the identified challenging factors. Findings from AHP also show that “public cloud security concern” and “achieving QoS” are the upper ranking factors confronted in the adoption of hybrid cloud mechanism by client organizations because their global weight (0.201) is greater than those of all the other reported challenging factors. We also found out 46 practices to address the identified challenges. The taxonomy developed in this study offers a comprehensive structure for dealing with hybrid cloud computing issues, which is essential for the success and advancement of client and vendor organizations in hybrid cloud computing relationships.
Highlights
The cloud computing mechanism has grown up very rapidly, and it has many unique features like elasticity, pooling of a resource, on-demand support, and wide network access [1, 2]
We review the latest work performed in the field of hybrid cloud computing and recognize the various challenging factors faced by client organizations during the adoption of cloud computing
We were inspired by the importance of hybrid cloud computing activities to build a taxonomy focused on prioritizing the challenges or challenging factors that could pose risks for hybrid cloud computing adoption by client organizations. e revealed results deliver the key areas which need to be resolved before hybrid cloud computing practices are launched. e SLR1 was performed to classify the challenging factors, and the results of the literature reviews were confirmed by empirical research
Summary
The cloud computing mechanism has grown up very rapidly, and it has many unique features like elasticity, pooling of a resource, on-demand support, and wide network access [1, 2]. Technology-assisted learning is becoming more common, with most educational institutions across the globe using learning management systems, content management systems, virtual networks, and virtual machines to enhance student learning [3]. In this day and age, educational institutions are even using private clouds to improve the student experience [3]. The service model of the cloud consists of “software as a service” (SaaS), “platform as a Security and Communication Networks service” (PaaS), and “infrastructure as a service” (IaaS) [9].
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