Modeling Support for Mobile Ambients in Service Oriented Architecture

Alí, Nour; Chen, Fei; Solís, Carlos

doi:10.1109/mobserv.2012.18

Cited by 5 publications

(4 citation statements)

References 7 publications

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“…A case study is conducted to conclude the results [11]. Ali et al [12] describe a tool for mobile ambient supporting Ambient-SoaML SOA. The current version of tool provides structural characteristics and it does not cover dynamic behavior [12].…”

Section: Related Workmentioning

confidence: 99%

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Proposal to Improve Mobility in Service Oriented Architecture

Aljebry¹,

Qureshi²

2017

IJEME

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Service Oriented Architecture (SOA) is a standard to implement and design applications. It is a channel of communication between service consumer (SC) and service provider (SP). SP offers a service and SC uses a service. Mobile web service verifier component, of SOA architecture, matches best service that is called. Mobile web service verifier component finds a best match of particular service in SP if it is available by the SP. Therefore, there is a pressing need to develop a component that can create a service if it is not found by mobile web service verifier component. This problem is addressed by proposing a new component for SOA architecture called service upgrade (SU) to increase and improve the service creation speed and satisfy SC and SP needs. The questionnaire is used as a research design to evaluate the proposed solution by providing qualitative data. The results show that the majority of respondents are in favor of the proposed solution. It is anticipated that the proposed solution will cater the industrial problem in hand.

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Section: Related Workmentioning

confidence: 99%

“…Ali et al [12] describe a tool for mobile ambient supporting Ambient-SoaML SOA. The current version of tool provides structural characteristics and it does not cover dynamic behavior [12]. Serhani and Benharref [13] propose an architecture naming Mobilityaware web services.…”

Section: Related Workmentioning

confidence: 99%

Proposal to Improve Mobility in Service Oriented Architecture

Aljebry¹,

Qureshi²

2017

IJEME

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“…However, in this approach, the reconfiguration was always performed due to one single preplanned strategy. We also defined a metamodel called Ambient-SoaML to provide the design of service oriented architecture of mobile devices in a technology independent way [13] and a graphical modelling tool [14]. In all the above approaches, we did not consider the usage of the architectural model after design and did not make usage of architectural models at runtime.…”

Section: Related Workmentioning

confidence: 99%

“…In terms of tooling, we are extending our own graphical modeling tool presented in [14] by using the Graphical Modeling Framework and including the new primitives presented in this paper such as the resources. This will allow users to define initial configurations and generate their code.…”

Section: Conclusion and Further Workmentioning

confidence: 99%

Self-Adaptation to Mobile Resources in Service Oriented Architecture

Alí

Solís²

2015

2015 IEEE International Conference on Mobile Services

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Abstract-Mobile or pervasive systems continuously change their environments and resources (e.g. battery or bandwidth). Mobile applications require different services when they enter or exit environments and as their resources change. In this paper, we propose a service oriented architectural approach that supports self-adaptation to changes in resources and location topology when mobility occurs, by reconfiguring the software architecture at runtime. The location topology and mobility primitives are inspired from ambient calculus. Our approach considers ambients to be autonomic elements that can manage elements located in them to their environment and provide them with new services suited to the available resources, when mobility occurs. Ambients implement a hierarchical and decentralized MAPE-K loop to adapt the distributed and mobile service oriented architecture to the resource requirements. We have designed an algorithm based on swarm optimization technique in order to allow ambients to optimally plan the reconfiguration process according to available services and resources. Throughout the paper, we use a scenario to illustrate our approach and perform initial evaluations on the swarm algorithm.

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