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Consuming Resources and Services from Multiple Clouds

Author:

Dana PetcuAuthors Info & Claims

Journal of Grid Computing, Volume 12, Issue 2

Pages 321 - 345

https://doi.org/10.1007/s10723-013-9290-3

Published: 01 June 2014 Publication History

Abstract

The consumption of resources and services from multiple Clouds for reasons like high availability, cost reductions or special features is a natural evolution from in-silo Clouds. Several middleware are already available for multiple Clouds. However, due to the complexity of the technical solutions, their approaches are quite different and a classification is needed to guide the potential users. This paper looks to the reports on multiple Cloud topics and proposes a specific taxonomy. It identifies the ready-to-use software and services and classifies them according the taxonomy. It also underlines the driving needs and requirements from consumers' and providers' point of views. A particular Cloudware is provided as an example for the degree of requirements fulfillment.

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cover image Journal of Grid Computing

Journal of Grid Computing Volume 12, Issue 2

June 2014

250 pages

ISSN:1570-7873

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Copyright © Copyright © 2014 Springer Science+Business Media Dordrecht.

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Berlin, Heidelberg

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Published: 01 June 2014

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Chafai ZNacer HLekadir OGharbi NOuchaou L(2024)A performance evaluation model for users’ satisfaction in federated cloudsCluster Computing10.1007/s10586-023-04231-327:4(4983-5004)Online publication date: 10-Jan-2024
https://dl.acm.org/doi/10.1007/s10586-023-04231-3
Alonso JOrue-Echevarria LCasola VTorre AHuarte MOsaba ELobo J(2023)Understanding the challenges and novel architectural models of multi-cloud native applications – a systematic literature reviewJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-022-00367-612:1Online publication date: 12-Jan-2023
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Harzenetter LBreitenbücher UBinz TLeymann F(2023)An Integrated Management System for Composed Applications Deployed by Different Deployment Automation TechnologiesSN Computer Science10.1007/s42979-023-01810-44:4Online publication date: 29-Apr-2023
https://dl.acm.org/doi/10.1007/s42979-023-01810-4
R. DJ. USharma TSingh MR. KSelvan SKrah D(2022)Energy-Efficient Resource Allocation and Migration in Private Cloud Data CentreWireless Communications & Mobile Computing10.1155/2022/31747162022Online publication date: 1-Jan-2022
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Ayachi MNacer HSlimani H(2021)Cooperative game approach to form overlapping cloud federation based on inter-cloud architectureCluster Computing10.1007/s10586-021-03253-z24:2(1551-1577)Online publication date: 1-Jun-2021
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Tomarchio OCalcaterra DModica G(2020)Cloud resource orchestration in the multi-cloud landscape: a systematic review of existing frameworksJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-020-00194-79:1Online publication date: 10-Sep-2020
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