Ounsa Roudies

Asmaa Achtaich, Nissrine Souissi, Raul Mazo et al.

The Internet of Things (IoT) is the science of connecting multiple devices that coordinate to provide the service in question. IoT environments are complex, dynamic, rapidly changing and resource constrained. Therefore, proactively adapting devices to align with context fluctuations becomes a concern. To propose suitable configurations, it should be possible to sense information from devices, analyze the data and reconfigure them accordingly. Applied in the service of the environment, a fleet of devices can monitor environment indicators and control it in order to propose best fit solutions or prevent risks like over consumption of resources (e.g., water and energy). This paper describes our methodology in designing a framework for the monitoring and multi-instantiation of fleets of connected objects. First by identifying the particularities of the fleet, then by specifying connected object as a Dynamic Software Product Line (DSPL), capable of readjusting while running.

Ibrahim El Bitar, Fatima-Zahra Belouadha, Ounsa Roudies

The semantic Web service discovery has been given massive attention within the last few years. With the increasing number of Web services available on the web, looking for a particular service has become very difficult, especially with the evolution of the clients needs. In this context, various approaches to discover semantic Web services have been proposed. In this paper, we compare these approaches in order to assess their maturity and their adaptation to the current domain requirements. The outcome of this comparison will help us to identify the mechanisms that constitute the strengths of the existing approaches, and thereafter will serve as guideline to determine the basis for a discovery approach more adapted to the current context of Web services.

Hajar Omrana, Fatima-Zahra Belouadha, Ounsa Roudies

Non Functional Properties (NFPs) such as security, quality of service and business related properties enhance the service description and provide necessary information about the fitness of its behaviour. These properties have become crucial criteria for efficient selection and composition of Web services. However, they belong to different domains, are complex, change frequently and have to be semantically described. The W3C standard WSPolicy,recommended to describe these properties doesn t define standardized specifications that cover all NFPs domains. Moreover, it doesn t provide an easy manner to express them independently of domains, and doesn t support their semantic. This paper proposes a Model driven approach to describe and automatically generate enriched Web services including semantic NFPs. It explores both the use of the OMG Profile for Modelling and Analysis of Real-Time Embedded Systems (MARTE) and the W3C standards. Mapping rules, from NFPs profile to WS-Policy and SAWSDL files, transforms NFPs into policies associated with WSDL elements.

Fatima-Zahra Belouadha, Hajar Omrana, Ounsa Roudies

A lot of works has been especially interested to the functional aspect of Web services. Nevertheless, it is necessary to describe their non-functional properties such as the security characteristics and the quality of service. The WS-Policy standard was recommended in 2007 to describe Web services policies including the non-functional properties. However, it doesn't provide any information of their meaning necessary for automatic processes. In this paper, we propose a Model Driven Architecture approach founded on W3C standards to generate WSDL language based files including semantic policies. We use a package of WSDL and WS-Policy profiles and transformations rules to generate Web services interfaces files including policies. We extend a XML schema profile according to SAWSDL standard to define semantic non-functional properties domains. This work contributes to minimize the development cost of Web services including semantic policies. Moreover, the generated services can be automatically processed in discovery, selection and negotiation tasks.