Orchestrating Multi-Cloud Environments for Enhanced Flexibility and Resilience
DOI:
https://doi.org/10.47941/jts.1810Keywords:
Multi-cloud architecture, Orchestration, Cloud Orchestration, Security, Compliance, Configuration Management, Artificial Intelligence, Machine LearningAbstract
Purpose: This paper examines the essential role of multi-cloud orchestration in navigating the complexities of the contemporary cloud computing landscape, aimed at optimizing the deployment and management of cloud resources across diverse environments.
Methodology: Utilizing a systematic review of scholarly articles, industry reports, and case studies, including the Flexera 2021 State of the Cloud Report and insights from Gartner, alongside academic contributions from researchers like Jamshidi et al. and Garg et al., this study delves into the strategies and tools facilitating effective multi-cloud orchestration.
Findings: The research highlights multi-cloud orchestration as a critical enabler for enhancing operational efficiency, resilience, and cost-effectiveness in cloud deployments. It emphasizes the strategic benefits of orchestrating a heterogeneous mix of cloud services, including public, private, and hybrid clouds, to meet the intricate demands of modern applications. The study underscores the importance of advanced orchestration tools in ensuring seamless operations, security, and compliance across multi-cloud architectures.
Unique contributor to theory, policy and practice: By following the principles outlined in this paper, organizations can leverage multi-cloud orchestration to unlock the full potential of their cloud investments and achieve a well-orchestrated symphony of success.
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References
Engineer Bainomugisha, Alex Mwotil, "Crane Cloud: A resilient multi-cloud service abstraction layer for resource-constrained settings”. 2022:
https://www.sciencedirect.com/science/article/pii/S2352728522000112
Pethuru Raj, Anupama Raman, "Automated Multi-Cloud Operations and Container Orchestration [2018]. Available: https://link.springer.com/chapter/10.1007/978-3-319- 78637-7_9
Orazia Tomarichio, Domenico Calceterra, Guiseppe Di Modica, Cloud Resource Orchestration in the Multi-Cloud Landscape: A Systematic Review of Existing Frameworks. [2020]. Available: https://link.springer.com/article/10.1186/s13677-020- 00194-7
Muhammad Kazim; Lu Liu; Shao Ying Zhu, “A Framework for Orchestrating Secure and Dynamic Access of IoT Services in Multi-Cloud Environments”. [2018]. Available: https://ieeexplore.ieee.org/abstract/document/8493478
R. Moreno Vozmediano, RS Montero, E Huedo, IM Lorente, “Orchestrating the Development of High Availability Services on Multi-Zone and Multi-Cloud Scenarios”. [2017]. Available: https://link.springer.com/article/10.1007/s10723-017-9417-z
Pethuru Raj, Anupama Raman, “Multi-Cloud Management: Technologies, Tools and Techniques”. [2018]. Available: https://link.springer.com/chapter/10.1007/978-3-319- 78637-7_10
J. Herrera, Y Reissig, “Adaptive management of applications across multiple clouds: The SeaClouds Approach”. [2015]. Available:
http://www.scielo.edu.uy/scielo.php?pid=S0717-50002015000100002&script=sci_arttext&tlng=en
Pethuru Raj Chelliah, Chellammal Surianarayanan, “Multi-Cloud Adoption Challenges for the Cloud-Native Era: Best Practices and Solution Approaches”. [2021]. Available: https://www.igi-global.com/article/multi-cloud-adoption-challenges-for-the-cloud-nativeera/274339
Flexera, "2021 State of the Cloud Report," 2021. [Online]. Available: https://lp.tufin.com/rs/769-ICF-145/images/report-cm-state-of-the-cloud-2021.pdf
Gartner, "Gartner’s Research on Cloud Orchestration Tools," 2021. [Online]. Available:
HashiCorp, "Whitepapers on Orchestration and Automation," 2020. [Online]. Available: https://www.hashicorp.com/resources
IDC, "IDC FutureScape: Worldwide Cloud 2020 Predictions," 2020. [Online]. Available: https://keyvatech.com/wp-content/uploads/2020/01/IDC-2020-Futures.pdf
Jamshidi, P., et al. (2018). Cloud migration research: A systematic review. IEEE Transactions on Cloud Computing,
https://www.researchgate.net/publication/260420072_Cloud_Migration_Research_A_Systematic_Review .
Garg, S.K., et al. (2013). A framework for ranking of cloud computing services. Future Generation Computer Systems,
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Copyright (c) 2024 Kiran Kumar Voruganti
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution (CC-BY) 4.0 License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
