A Pattern-Based Approach to Cloud Transformation

Chee, Yi‐Min; Zhou, Nianjun; Meng, Fan Jing; Bagheri, Saeed; Zhong, Peide

doi:10.1109/cloud.2011.86

Cited by 6 publications

(4 citation statements)

References 6 publications

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“…However, these are far from systematic software engineering approaches and they do not explicitly consider CAP properties. In a similar approach to ours, the work of [22] uses design patterns in Cloud application engineering. Their focus is on Cloud transformation, i.e., migrating existing applications to the Cloud.…”

Section: Related Workmentioning

confidence: 99%

CAP-Oriented Design for Cloud-Native Applications

Andrikopoulos

Strauch

Fehling

et al. 2013

Communications in Computer and Information Science

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Brewer's conjecture, and its resulting formalization as the CAP theorem, impose serious limitations on the consistency, availability and network partitioning tolerance characteristics of distributed systems. Despite its importance however, few works explicitly consider the implications of the CAP theorem in the design of applications, especially for applications that are designed natively for the Cloud. In order to address this need, in this work we propose a CAP-oriented design methodology for Cloud-native applications. For this purpose we build and extend our previous work on Cloud architectural patterns. Finally, we show how the methodology can be used in practice to design an application solution with desired CAP properties.

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Section: Related Workmentioning

confidence: 99%

CAP-Oriented Design for Cloud-Native Applications

Andrikopoulos

Strauch

Fehling

et al. 2013

Communications in Computer and Information Science

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“…Migrating application to cloud has been widely studied from different perspectives, which include frameworks and tools for migration execution [9], toolkits and models to support decision making of migration feasibility [10], frameworks for target cloud selection [11], techniques to discover application configuration for migration [12], and etc. Specifically, in [9] the authors introduced the Darwin framework which integrates set of tools that can enable smooth workload migration to cloud or noncloud environment.…”

Section: Related Workmentioning

confidence: 99%

“…Specifically, in [9] the authors introduced the Darwin framework which integrates set of tools that can enable smooth workload migration to cloud or noncloud environment. In [10], the authors proposed Cloud Transformation Advisor which recommends an optimal application transformation solution based on transforming patterns definition. However, all of these works only focused on particular application types, software stacks or target clouds and are hardly applied in migrating applications with complicated topologies and software stacks individually.…”

Section: Related Workmentioning

confidence: 99%

A Novel Service Composition Approach for Application Migration to Cloud

Wang

Zhuo

Yang

et al. 2013

Service-Oriented Computing

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Migrating business applications to cloud can be costly, laborintensive, and error-prone due to the complexity of business applications, the constraints of the clouds, and the limitations of existing migration techniques provided by migration service vendors. However, the emerging software-as-aservice offering model of migration services makes it possible to combine multiple migration services for a single migration task. In this paper, we propose a novel migration service composition approach to achieve a costeffective migration solution. In particular, we first formalize the migration service composition problem into an optimization model. Then, we present an algorithm to determine the optimal composition solution for a given migration task. Finally, using synthetic trace driven simulations, we validate the effectiveness and efficiency of the proposed optimization model and algorithm.

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“…However, these are far from systematic software engineering approaches and they do not explicitly consider CAP properties. In a similar approach to ours, the work of (Chee et al, 2011) uses design patterns in cloud application engineering. However, their focus is on cloud transformation, i.e.…”

Section: Related Workmentioning

confidence: 99%

DESIGNING FOR CAP - The Effect of Design Decisions on the CAP Properties of Cloud-native Applications

Andrikopoulos¹,

Fehling²,

Leymann³

2012

Proceedings of the 2nd International Conference on Cloud Computing and Services Science

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The limitations of distributed systems to satisfy the combination of consistency, availability and network partitioning tolerance requirements are well-documented and formally proven. There is however a limited amount of works discussing the impact of these limitations on designing applications native to the Cloud. This work addresses this particular need by proposing an approach for considering these requirements while designing an application. Our contributions are therefore a methodology for Cloud-native application design which considers consistency, availability and network partitioning tolerance, and a framework instantiating this methodology by using design patterns and their realization solutions on the Cloud. We also show how the proposed methodology can be used in practice to design an application solution with desired properties.

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A Pattern-Based Approach to Cloud Transformation

Cited by 6 publications

References 6 publications

CAP-Oriented Design for Cloud-Native Applications

CAP-Oriented Design for Cloud-Native Applications

A Novel Service Composition Approach for Application Migration to Cloud

DESIGNING FOR CAP - The Effect of Design Decisions on the CAP Properties of Cloud-native Applications

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