Modelling and verification of reconfigurable fault-tolerant and self-recovering systems in hybrid Clouds

Hamouda, Roua Ben; Hafaiedh, Imene Ben; Robbana, Riadh

doi:10.1016/j.simpat.2021.102331

Cited by 1 publication

(2 citation statements)

References 27 publications

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“…[1], [5], [8], [9], [15], [17], [18], [27], [28], [31], [37], [38], [39], [40], [44], [50], [56], [ Integration complexity 27 23 [5], [6], [17], [18], [32], [56], [58], [60], [65], [66] [16], [17], [25], [26], [30], [39], [41], [47], [48], [61], [66], [69], [80], [85] Task scheduling and execution 13 11 [4], [10], [22], [29], [36], [49], [51], [52] Step 1: decomposition of a complex-decision problem into a simple hierarchical structure.…”

Section: Application Of Ahpmentioning

confidence: 99%

“…e cloud computing tasks are distributed with minimum time and minimum cost as the goal. Hamouda et al [16] proposed a reconfigurable formal model of the hybrid cloud architecture, and then they utilized instantiations of this model, simulation, and real-time execution runs to estimate different performance metrics related to fault detection and self-recovery strategies in hybrid cloud.…”

Section: Introductionmentioning

confidence: 99%

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Challenges and Their Practices in Adoption of Hybrid Cloud Computing: An Analytical Hierarchy Approach

Khan

Ullah

et al. 2021

Security and Communication Networks

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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.

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