article

Towards a unified taxonomy and architecture of cloud frameworks

Authors:

Robert Dukaric,

Matjaz B. JuricAuthors Info & Claims

Future Generation Computer Systems, Volume 29, Issue 5

Pages 1196 - 1210

https://doi.org/10.1016/j.future.2012.09.006

Published: 01 July 2013 Publication History

Abstract

Infrastructure as a Service (IaaS) is one of the most important layers of Cloud Computing. However, there is an evident deficiency of mechanisms for analysis, comparison and evaluation of IaaS cloud implementations, since no unified taxonomy or reference architecture is available. In this article, we propose a unified taxonomy and an IaaS architectural framework. The taxonomy is structured around seven layers: core service layer, support layer, value-added services, control layer, management layer, security layer and resource abstraction. We survey various IaaS systems and map them onto our taxonomy to evaluate the classification. We then introduce an IaaS architectural framework that relies on the unified taxonomy. We provide a detailed description of each layer and define dependencies between the layers and components. Finally, we evaluate the proposed IaaS architectural framework on several real-world projects, while performing a comprehensive analysis of the most important commercial and open-source IaaS products. The evaluation results show notable distinction of feature support and capabilities between commercial and open-source IaaS platforms, significant deficiency of important architectural components in terms of fulfilling true promise of infrastructure clouds, and real-world usability of the proposed taxonomy and architectural framework.

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Cited By

Verma SBala A(2021)Auto-scaling techniques for IoT-based cloud applications: a reviewCluster Computing10.1007/s10586-021-03265-924:3(2425-2459)Online publication date: 3-Apr-2021
https://dl.acm.org/doi/10.1007/s10586-021-03265-9
Radchenko GAlaasam ATchernykh A(2019)Comparative Analysis of Virtualization Methods in Big Data ProcessingSupercomputing Frontiers and Innovations: an International Journal10.14529/jsfi1901076:1(48-79)Online publication date: 15-Mar-2019
https://dl.acm.org/doi/10.14529/jsfi190107
Shang HWang JZhao J(2019)Design and Implementation of SCC System based on Cloud ArchitectureProceedings of the 2019 International Conference on Artificial Intelligence and Advanced Manufacturing10.1145/3358331.3358369(1-6)Online publication date: 17-Oct-2019
https://dl.acm.org/doi/10.1145/3358331.3358369
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Towards a unified taxonomy and architecture of cloud frameworks
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cover image Future Generation Computer Systems

Future Generation Computer Systems Volume 29, Issue 5

July, 2013

221 pages

ISSN:0167-739X

Issue’s Table of Contents

Copyright © Elsevier B.V. © 2012.

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Elsevier Science Publishers B. V.

Netherlands

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Published: 01 July 2013

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Verma SBala A(2021)Auto-scaling techniques for IoT-based cloud applications: a reviewCluster Computing10.1007/s10586-021-03265-924:3(2425-2459)Online publication date: 3-Apr-2021
https://dl.acm.org/doi/10.1007/s10586-021-03265-9
Radchenko GAlaasam ATchernykh A(2019)Comparative Analysis of Virtualization Methods in Big Data ProcessingSupercomputing Frontiers and Innovations: an International Journal10.14529/jsfi1901076:1(48-79)Online publication date: 15-Mar-2019
https://dl.acm.org/doi/10.14529/jsfi190107
Shang HWang JZhao J(2019)Design and Implementation of SCC System based on Cloud ArchitectureProceedings of the 2019 International Conference on Artificial Intelligence and Advanced Manufacturing10.1145/3358331.3358369(1-6)Online publication date: 17-Oct-2019
https://dl.acm.org/doi/10.1145/3358331.3358369
(2018)Systematic survey on evolution of cloud architecturesInternational Journal of Autonomous and Adaptive Communications Systems10.1504/IJAACS.2018.09066111:1(14-38)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1504/IJAACS.2018.090661
Weerasiri DBarukh MBenatallah BSheng QRanjan R(2017)A Taxonomy and Survey of Cloud Resource Orchestration TechniquesACM Computing Surveys10.1145/305417750:2(1-41)Online publication date: 10-May-2017
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