TOSCA: Portable Automated Deployment and Management of Cloud Applications

Binz, Tobias; Breitenbücher, Uwe; Kopp, Oliver; Leymann, Frank

doi:10.1007/978-1-4614-7535-4_22

Cited by 159 publications

(122 citation statements)

References 19 publications

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“…Finally, the users can instantiate an application instance. The Cloud Service Archive [12], [13] is a container file which holds the service template of a cloud application, all artifacts required to manage the lifecycle of the corresponding cloud application (i.e. the implementation artifacts of the operations of the node types) as well as all artifacts to execute the cloud application (i.e.…”

Section: A Model Driven Framework For Portable Cloud Services (Aparnamentioning

confidence: 99%

A Model Driven Framework for Portable Cloud Services

Vijaya¹,

Neelanarayanan²

2016

IJECE

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Cloud Computing is an evolving technology as it offers significant benefits like pay only for what you use, scale the resources according to the needs and less in-house staff and resources. These benefits have resulted in tremendous increase in the number of applications and services hosted in the cloud which inturn has resulted in increase in the number of cloud providers in the market. Cloud service providers have a lot of heterogeneity in the resources they use. They have their own servers, different cloud infrastructures, API's and methods to access the cloud resources. Despite its benefits; lack of standards among service providers has caused a high level of vendor lock-in when a software developer tries to change its cloud provider. In this paper we give an overview on the ongoing and current trends in the area of cloud service portability and we also propose a new cloud portability platform. Our new platform is based on establishing feature models which offers the desired cloud portability. Our solution DSkyL uses feature models and domain model analysis to support development, customization and deployment of application components across multiple clouds. The main goal of our approach is to reduce the effort and time needed for porting applications across different clouds. This paper aims to give an overview on DSkyL. Keyword:Feature Model Heterogenous cloud Model driven development Platform agnostic

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Section: A Model Driven Framework For Portable Cloud Services (Aparnamentioning

confidence: 99%

A Model Driven Framework for Portable Cloud Services

Vijaya¹,

Neelanarayanan²

2016

IJECE

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“…6). We realized the prototype as a REST-based web-service that reuses following specifications and tools: We apply the Topology Orchestration Specification for Cloud Applications (TOSCA) [6] for resource deployment. OpenTOSCA [5] is an open-source container (i.e., resource organizer) for cloud applications defined in TOSCA.…”

Section: Case Study Based On the Opentosca Ecosystemmentioning

confidence: 99%

Transforming Collaboration Structures into Deployable Informal Processes

Sungur

Dorn

Dustdar

et al. 2015

Engineering the Web in the Big Data Era

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Abstract. Traditional workflow and activity-centric coordination offers limited process support to human collaborators when unanticipated situations predominate. Under such circumstances, informal processes focus on provisioning relevant resources for achieving collaboration goals. Resources include interaction mechanisms such as shared artifact, social networks, and publish/subscribe information dissemination as complex situations typically demand the close collaboration among multiple human process participants. Currently, however, there exists a gap between (i) selecting and configuring suitable interaction mechanisms (collaboration level) and (ii) deploying the respective collaboration platforms (IT level). In this paper, we present an approach and techniques for transforming collaboration structures into automatically deployable informal processes. We demonstrate how our tools support the specification of desirable collaboration capabilities subsequently deployed to multiple MediaWiki instances.

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“…TOSCA. The Topology and Orchestration Specification for Cloud Applications (TOSCA) [10] aims at realizing portable cloud applications that are described in terms of so-called service templates. TOSCA is based on XML, whereas with Vino4TOSCA [14] Synopsis.…”

Section: Cloudml-ufpementioning

confidence: 99%

“…Starting from the above-mentioned projects and their related work, we selected teo different approaches: Blueprint [43], CAML [8], CJoudMIG [27], CloudML [23], CloudML-UFPE 1 [30], H<JP!, MOCCA [39], MULTICLAPP [3 1], RESERVOIR-ML [20], and TOSCA [10]. For each selected approach, we provide a brief description and then categorize it according to both modeling language characteristics and cloud computing characteristics.…”

mentioning

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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TOSCA: Portable Automated Deployment and Management of Cloud Applications

Cited by 159 publications

References 19 publications

A Model Driven Framework for Portable Cloud Services

A Model Driven Framework for Portable Cloud Services

Transforming Collaboration Structures into Deployable Informal Processes

Cloud Modeling Languages by Example

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