Generation of BPEL Customization Processes for SaaS Applications from Variability Descriptors

Mietzner, Ralph; Leymann, Frank

doi:10.1109/scc.2008.85

Cited by 91 publications

(46 citation statements)

References 8 publications

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“…We need a model with configurability metrics, which in general includes the data configurability, application function configurability, business processes configurability and operation interface configurability [20]. Beyond that, the configurability of smart card is very important in CSCS based on SaaS since there are various solutions for different smart card techniques.…”

Section: Methodsmentioning

confidence: 99%

Study on the Campus Smart Card System based on SaaS

Jian-wen¹

2015

Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy

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Abstract. The smart card system has become an essential part of the digital campus. Recently the solutions based on SaaS in China have become popular for the advantages of less upfront investment, good service quality and convenience maintainability. But in colleges and universities there are many challenges. In this paper, we discussed the solutions for three challenges: personalized demand, system integration and information utilization. Firstly, it was suggested that different users should select the private cloud or public cloud mode. Next, the campus smart card system model based on SaaS was proposed. The model with layered architecture has good configurability, flexibility and integration metrics. Then, several methods were put forward to solve the integration between the card systems with other information systems. In addition, the IA theory was applied in the information retrieval, and the intelligent analysis examples of the card business data were discussed. At last we considered five kinds of configurability: data, function, workflow, portal and smart card, and a configurability management system based on metadata was presented.

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Section: Methodsmentioning

confidence: 99%

Study on the Campus Smart Card System based on SaaS

Jian-wen¹

2015

Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy

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“…On the contrary, we propose to reason about variability separately. An approach in a similar direction proposes a separated variability descriptor document to describe the variability points and their properties and points into the file to be customized (Mietzner and Leymann, 2008). This document makes up the Software as a Service (SaaS) process layer of an application.…”

Section: Variability Modelingmentioning

confidence: 99%

Dynamic adaptation of service compositions with variability models

Alférez

Pelechano

Mazo

et al. 2014

Journal of Systems and Software

111

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Web services run in complex contexts where arising events may compromise the quality of the whole system. Thus, it is desirable to count on autonomic mechanisms to guide the self-adaptation of service compositions according to changes in the computing infrastructure. One way to achieve this goal is by implementing variability constructs at the language level. However, this approach may become tedious, difficult to manage, and error-prone. In this paper, we propose a solution based on a semantically rich variability model to support the dynamic adaptation of service compositions. When a problematic event arises in the context, this model is leveraged for decision-making. The activation and deactivation of features in the variability model result in changes in a composition model that abstracts the underlying service composition. These changes are reflected into the service composition by adding or removing fragments of Business Process Execution Language (WS-BPEL) code, which can be deployed at runtime. In order to reach optimum adaptations, the variability model and its possible configurations are verified at design time using Constraint Programming. An evaluation demonstrates several benefits of our approach, both at design time and at runtime.

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“…The tester is guided through the setup process via a customization flow which is a workflow generated from the variability model of a testbed, as introduced in [7]. The customization flow prompts the tester for all necessary decisions.…”

Section: Testbed Setupmentioning

confidence: 99%

CAGE: Customizable Large-Scale SOA Testbeds in the Cloud

Juszczyk

Schall

Mietzner

et al. 2011

Service-Oriented Computing

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Abstract. Large-scale and complex distributed systems are increasingly implemented as SOAs. These comprise diverse types of components, e.g., Web services, registries, workflow engines, and services buses, that interact with each others to establish composite functionality. The drawback of this trend is that testing of complex SOAs becomes a challenging task. During the development phase, testers must verify the system's correct functionality, but often do not have access to adequate testbeds. In this paper, we present an approach for solving this issue. We combine the Genesis2 testbed generator, that emulates SOA environments, with Cafe, a framework for provisioning of component-based applications in the cloud. Our approach allows to model large-scale service-based testbed infrastructures, to specify their behavior, and to deploy these automatically in the cloud. As a result, testers can emulate required environments on-demand for evaluating SOAs at runtime.

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Generation of BPEL Customization Processes for SaaS Applications from Variability Descriptors

Cited by 91 publications

References 8 publications

Study on the Campus Smart Card System based on SaaS

Study on the Campus Smart Card System based on SaaS

Dynamic adaptation of service compositions with variability models

CAGE: Customizable Large-Scale SOA Testbeds in the Cloud

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