Blueprint Template Support for Engineering Cloud-Based Services

Nguyen, Dinh Khoa; Lelli, Francesco; Taher, Yéhia; Parkin, Michael; Papazoglou, Michael P.; Heuvel, Willem‐Jan van den

doi:10.1007/978-3-642-24755-2_3

Cited by 28 publications

(19 citation statements)

References 4 publications

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“…Service description mechanisms discussed in [21,30,26] (in the form of manifests, recipes and blueprints) , but also in standards like TOSCA and CloudML, can serve to abstract, manipulate and compose cloud service offerings in an effort to commoditise the cloud. These description mechanisms, based on an abstract model serve two purposes: Firstly, to abstractly capture, present and manipulate cloud resources.…”

Section: Discussionmentioning

confidence: 99%

A Comparison Framework and Review of Service Brokerage Solutions for Cloud Architectures

Fowley

Pahl

Zhang

2014

Lecture Notes in Computer Science

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Abstract. Cloud service brokerage has been identified as a key concern for future cloud technology development and research. We compare service brokerage solutions. A range of specific concerns like architecture, programming and quality will be looked at. We apply a 2-pronged classification and comparison framework. We will identify challenges and wider research objectives based on an identification of cloud broker architecture concerns and technical requirements for service brokerage solutions. We will discuss complex cloud architecture concerns such as commoditisation and federation of integrated, vertical cloud stacks.

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Section: Discussionmentioning

confidence: 99%

A Comparison Framework and Review of Service Brokerage Solutions for Cloud Architectures

Fowley

Pahl

Zhang

2014

Lecture Notes in Computer Science

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“…The language in [Nguyen et al 2011] is able to support the semi-formal description of Blueprint Templates which cover cloud-offerings at multiple abstraction levels and capture service capability, virtual topology and QoS & policy aspects. Apart from being a semi-formal language, it does not capture all lifecycle aspects as covered, e.g., in CAMEL.…”

Section: Cloud Service/application Modellingmentioning

confidence: 99%

Owards Semantic-Based Cloud Application Management

Kritikos¹,

Plexousakis²

2015

STCC

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Cloud computing promises to transform applications and services on the web into elastic and fault-tolerant software. To aid at this target, various research prototypes and products have been already proposed. However, especially with respect to the design phase of cloud-based applications, such prototypes do not enable the appropriate composition of cloud services at different levels to realise not only the functionality but also the underlying infrastructure support for such applications. Moreover, most existing prototypes and products lack the appropriate semantics to guarantee that the respective design product is the most suitable and accurate one according to the various types of user requirements posed. To this end, this article proposes a semantic cloud application management framework that addresses the aforementioned issues by relying on ontologies to semantically describe cloud service capabilities and application requirements, on semantic cloud service matchmakers considering both functional and non-functional aspects as well as on a novel cloud service composition approach which is able to perform concurrently service concretisation and deployment plan reasoning, thus catering for the different levels involved in a cloud environment and their respective dependencies by also satisfying all types of user requirements posed. The service composition approach is experimentally evaluated deriving quite promising results indicating that the state-of-the-art is advanced.

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“…The Blueprint [44] approach describes Servicebased Applications (SBA) in terms of coarse-grained deployment artefacts that provide a uniform representation of SBAs connected with the required cloud service offerings. Blueprints are e ncoded in XML and typically represented in terrns of a Virtual Architecture Topology (VAT) for which a graphical notation is suggested.…”

Section: Ill Cloud Modeling Approachesmentioning

confidence: 99%

Cloud Modeling Languages by Example

Bergmayr

Wimmer

Kappel

et al. 2014

2014 IEEE 7th International Conference on Service-Oriented Computing and Applications

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Abstract-Rece ntly, several proposals towards a cloud model· ing language have erneq;;cd. As they ad dress the diversity of cloud envimnments, il is not surprising that these modeling languages support different S(. 'Cfllll·ios. Using a by-example approach based on the sce nario of softw:uc migration, we demonstrate their represe ntational Cllpabilitics :md review them according to d!aracteristics common lo all modeling languages as weiJ as specific to the cloud computing donmin. We repor t on our findings an d present research guidelines for future efforts towards a better alignment of the different cloud modeling languages. I. I NTRODUCTIONCloud computing bas recently emerged as a new possibility how software can be made available to clients as a service. Hereby, software is hosted on a cloud environment [5] and consumable over the network by different clients. For software vendors, th. is is appealing because of low upfroot costs compared to a traditional on-premise solution as well as operational costs that scale with the provisioning and releasing of cloud resources, which are in turn offered as a service by cloud providers. Cloud service offerings range from low-level infrastructure elements, such as raw computing nodes, over higher level platforms, such as a Java execution environment on top of a cloud infrastructure, to ready-to-use software deployed on a cloud platform. Furthermore, software vendors are no longer forced to plan far ahead for resource provisioning [3] because the large-scale datacenters of today's cloud providers ensure that requested resources are available through their cloud environments. The risk of under-and over-provisioning of such resources is reduced by cloud environments due to their capabilities for elastic scalability on demand. Therefore, resources are not only provisioned as their demand increases but also released once their demand decreases (e.g. , number of user requests exceeds or falls below a defined threshold).Since cloud environments offer novel optimization opportunities (e.g., advanced scalable data persistence solutions), taking full advantage of the cloud requires that the software is prepared for such an environment However, in order to leverage the possibilities of a cloud environment, the software often needs to comply with certain restrictions that might hinder its functioning (e.g., statefuJ components in a highly scalable cloud environment). Several previous and ongoing European projects, notably REMICS [41] For each selected approach, we provide a brief description and then categorize it according to both modeling language characteristics and cloud computing characteristics. We do not claim that this set of cloud modeling language is complete and leave a systematic li terature review for future work. Rather, we foc us on the ex tensional perspective of the modeling languages by demonstrating the approaches in the setting of a cloud migration scenario. We have selected this scenario since it covers the wide spectrum of the software lifecycle. Finally, we c...

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Blueprint Template Support for Engineering Cloud-Based Services

Cited by 28 publications

References 4 publications

A Comparison Framework and Review of Service Brokerage Solutions for Cloud Architectures

A Comparison Framework and Review of Service Brokerage Solutions for Cloud Architectures

Owards Semantic-Based Cloud Application Management

Cloud Modeling Languages by Example

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