A Study of Data Management in Hybrid Cloud Configuration

Tanimoto, Shigeaki; Sakurada, Yorihiro; Seki, Yosiaki; Iwashita, Motoi; Matsui, Shinsuke; Satō, Hiroyuki; Kanai, Atsushi

doi:10.1109/snpd.2013.22

Cited by 9 publications

(7 citation statements)

References 2 publications

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“…According to Javadi et al [32], "a scalable hybrid cloud infrastructure as well as resource provisioning policies assure QoS targets of the users." Tanimotoet et al [33], propose an enterprise data management method for a hybrid cloud configuration. According to Judith et al [34], "if a few developers in a company use a public cloud service to prototype a new application that is completely disconnected from the private cloud or the data center, the company does not have a hybrid environment, but if a company uses a public development platform that sends data to a private cloud or a data center-based application, the cloud is hybrid.…”

Section: Hybrid Cloud Related Work Majority Of the Currentmentioning

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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Section: Hybrid Cloud Related Work Majority Of the Currentmentioning

confidence: 99%

“…e AHP method and its implementation are highlighted briefly in the following steps: [1], [2], [9], [13], [17], [18], [20], [23], [24], [27], [30], [33], [34], [35], [39], [41], [42], [43], [44], [45], [47], [50], [53], [54], [55], [56], [58], [59], [61], [63], [65], [66] Effective management issue 34 28…”

Section: Application Of Ahpmentioning

confidence: 99%

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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“…Risk analysis is com control matrix of a Cloud Security Allian Control Matrix (CCM)) [14]. Cloud secu internal control including key and data man been raised [15][16][17][18]. Furthermore, an ap system automatically selects appropriate clo a service-level agreement (SLA) writte markup language (XML) has been proposed There is no way to select optimum clou many different cloud services (heterogeneo in these environments.…”

Section: Related Workmentioning

confidence: 99%

An Approach to Selecting Cloud Services for Data Storage in Heterogneous-Multicloud Environment with High Availability and Confidentiality

Kajiura

Ueno

Kanai

et al. 2015

2015 IEEE Twelfth International Symposium on Autonomous Decentralized Systems

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Cloud services are becoming more popular and as their price has been decreasing, the opportunity to use them has been increasing. However, it has become difficult to select optimal cloud services from many services. This paper proposes an approach to dynamically selecting optimal cloud services to store data in heterogeneous-multi-cloud environments, which we evaluated by using a secret sharing scheme. The results indicated that it is possible to select the best services from the proposed model in heterogeneousmulti-cloud environments.

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“…The general approach primarily bene¯ts from two technical improvements to integer-programming based application partitioning. Tanimoto et al 18 propose an enterprise data management method for a hybrid cloud con¯guration. Speci¯cally, enterprise data was subdivided into 28 categories through a work breakdown structure (WBS) method.…”

Section: Related Workmentioning

confidence: 99%

Hierarchical Scheduling Optimization Scheme in Hybrid Cloud Computing Environments

2015

J CIRCUIT SYST COMP

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The paper proposes hierarchical scheduling optimization scheme in hybrid cloud. Our proposed hierarchical scheduling takes advantage of the interaction of cloud users, private cloud and public cloud. For high level optimization in hybrid cloud, the objective of public cloud provider optimization is to maximize the revenue of providing virtual machines (VMs) and minimize the energy cost. The private cloud users' applications give the unique optimal payment to public cloud providers under deadline and cost constraint to maximize the satisfaction of private cloud user applications. The objective of low-level scheduling optimization is to minimize the cost and execution time of private cloud application. From the simulation results, the revenue, execution success ratio and resource utilization of our proposed hierarchical scheduling algorithm are better than other related works.

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A Study of Data Management in Hybrid Cloud Configuration

Cited by 9 publications

References 2 publications

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

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

An Approach to Selecting Cloud Services for Data Storage in Heterogneous-Multicloud Environment with High Availability and Confidentiality

Hierarchical Scheduling Optimization Scheme in Hybrid Cloud Computing Environments

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