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What comes to mind first with cloud system architectures is the ubiquitous use of microservices, supported by total virtualization from hardware to middleware to applications: virtual machines, micro operating systems, containers, and container orchestration. All of this gives microservices tremendous potential, while making such systems extremely complex. Microservices constitute, at the same time, a pattern for a cloud architecture and a source of concerns to be solved by the architecture at large. This paper presents a set of proposed “principles and patterns for control-theoretic [1,2], model-based [3] architectures for cloud software [4].” The intended audience includes people interested in cloud computing solutions. The presentation level is suitable for both industry and academia. The paper has a very systematic approach, taking the challenges and defining from them the principles that lead to the patterns to be implemented. The cloud is a multi-tiered provider of services produced through virtualization, living in a universe dominated by uncertainty: highly dynamic environments with often unpredictable changes. This requires mechanisms of self-adaptation. A full-stack view is necessary for continuous delivery/integration from a DevOps perspective. Thus, the architectural principles can be synthesized as follows: service orientation, virtualization, uncertainty, and adaptivity. The resulting architectural patterns include microservices complemented by packaging (containers) and orchestration (Kubernetes) as the ideal solution for continuous delivery; dynamic runtime models (using various approaches like Markovian chains, Bayesian inferences, fuzzy logic, and so on) to address uncertainty; and controller-based feedback loops (correlated with the runtime models) to ensure adaptivity. The authors discuss model and controller at length, and present three use cases.
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Reviewer:
Pierre Radulescu-Banu |
Review #: CR146083
(1808-0428) |
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1) |
Cheng, B. H. C.; de Lemos, R.; Giese, H.; Inverardi, P.; Magee, J. Software engineering for self-adaptive systems: . Springer, New York, NY, 2009. |
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2) |
Kounev, S. Self-aware software and systems engineering: a vision and research roadmap. GI Softwaretechnik-Trends 31, (2011), 21–25. |
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3) |
Stahl, T.; Völter, M. Model-driven software development. Wiley, Chichester, UK, 2006. |
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4) |
Antonopoulos, N.; Gillam, L. Cloud computing: principles, systems and applications. Springer, New York, NY, 2010. |
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Other reviews under "Cloud Computing": |
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Cloud security and privacy: an enterprise perspective on risks and compliance Mather T., Kumaraswamy S., Latif S., O’Reilly Media, Inc., Sebastopol, CA, 2009. 336, Type: Book (9780596802769), Reviews: (1 of 3) |
Dec 14 2009 |
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Cloud security and privacy: an enterprise perspective on risks and compliance Mather T., Kumaraswamy S., Latif S., O’Reilly Media, Inc., Sebastopol, CA, 2009. 336, Type: Book (9780596802769), Reviews: (2 of 3) |
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Cloud security and privacy: an enterprise perspective on risks and compliance Mather T., Kumaraswamy S., Latif S., O’Reilly Media, Inc., Sebastopol, CA, 2009. 336, Type: Book (9780596802769), Reviews: (3 of 3) |
Mar 18 2010 |
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