Cloud Computing Patterns

Fehling, Christoph; Leymann, Frank; Retter, Ralph; Schupeck, Walter; Arbitter, Peter

doi:10.1007/978-3-7091-1568-8

Cited by 221 publications

(138 citation statements)

References 21 publications

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“…An extensive set of architectural patterns and best practices for cloud application development have been distilled, see for instance Wilder (2012); Fehling et al (2014); Homer et al (2014).…”

Section: Introductionmentioning

confidence: 99%

Self-managing cloud-native applications: Design, implementation, and experience

Toffetti

Brunner

Blöchlinger

et al. 2017

Future Generation Computer Systems

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Running applications in the cloud efficiently requires much more than deploying software in virtual machines. Cloud applications have to be continuously managed : 1) to adjust their resources to the incoming load and 2) to face transient failures replicating and restarting components to provide resiliency on unreliable infrastructure. Continuous management monitors application and infrastructural metrics to provide automated and responsive reactions to failures (health management) and changing environmental conditions (auto-scaling) minimizing human intervention.In the current practice, management functionalities are provided as infrastructural or third party services. In both cases they are external to the application deployment. We claim that this approach has intrinsic limits, namely that separating management functionalities from the application prevents them from naturally scaling with the application and requires additional management code and human intervention. Moreover, using infrastructure provider services for management functionalities results in vendor lock-in effectively preventing cloud applications to adapt and run on the most effective cloud for the job.In this paper we discuss the main characteristics of cloud native applications, propose a novel architecture that enables scalable and resilient selfmanaging applications in the cloud, and relate on our experience in porting a legacy application to the cloud applying cloud-native principles.

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Section: Introductionmentioning

confidence: 99%

Self-managing cloud-native applications: Design, implementation, and experience

Toffetti

Brunner

Blöchlinger

et al. 2017

Future Generation Computer Systems

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“…We recorded existing cloud design and architecture patterns [4] [6]. A major role in this process played a SLR on cloud migration [1].…”

Section: Methodsmentioning

confidence: 99%

“…We detected shortcomings associated with these design patterns when we applied them in migration planning. The patterns were either limited to specific platforms [4] or fine-grained at a very technical level [6]. To redesign an on-premise application with these patterns, it requires deep knowledge of vendor-specific services as well as fair understanding of detailed design documents.…”

Section: Methodsmentioning

confidence: 99%

“…We report on 9 fined-grained core and 6 variant cloud-specific architecture migration patterns, extracted based on empirical evidence from a number of migration projects [5], best practice for cloud architectures [4], [6] and a systematic literature review [1]. Our main contribution is a set of fine-grained service-oriented migration fragments that allows application developers and architects to plan the migration and communicate the plan and the decision with non-technical stakeholders.…”

Section: Introductionmentioning

confidence: 99%

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Cloud Migration Patterns: A Multi-cloud Service Architecture Perspective

Jamshidi

Pahl

Chinenyeze

et al. 2015

Service-Oriented Computing - ICSOC 2014 Workshops

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Abstract. Many organizations migrate their on-premise software systems to the cloud. However, current coarse-grained cloud migration solutions have made a transparent migration of on-premise applications to the cloud a difficult, sometimes trial-and-error based endeavor. This paper suggests a catalogue of fine-grained service-based cloud architecture migration patterns that target multi-cloud settings and are specified with architectural notations. The proposed migration patterns are based on empirical evidence from a number of migration projects, best practices for cloud architectures and a systematic literature review of existing research. The pattern catalogue allows an organization to (1) select appropriate architecture migration patterns based on their objectives, (2) compose them to define a migration plan, and (3) extend them based on the identification of new patterns in new contexts.

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“…In this way, they can avoid problems when running the applications in the cloud. These properties are the IDEAL properties: the Isolation state, Distribution, Elasticity, Automated management and Loose coupling [7]. Cloud-native applications can be defined using these properties:…”

Section: Designing Applicationsmentioning

confidence: 99%