The simultaneous use of the new computing paradigms: Domain Specific Modeling, Context Oriented Computing and Service Oriented Computing, raises many challenges. Particularly, the challenge of... Show More

The simultaneous use of the new computing paradigms: Domain Specific Modeling, Context Oriented Computing and Service Oriented Computing, raises many challenges. Particularly, the challenge of engineering such systems, which consists of the definition of modeling approaches, processes, techniques and tools to facilitate their construction. The proposed MDSD approach for context-aware service oriented systems is based on Domain Specific Language Engineering. The Context-Aware, Domain Specific and Service Oriented (CADSSO) development approach is based on five models. The first one is domain specific context model; it symbolizes the services context of use. The second is domain specific services model; it takes care of services modeling. The third is service variability model; it formulates services variants. The fourth is adaptation rules model, which is the joint between service variability model and context model. The fifth is business rules model, used to model domain business. A code generator is in charge of the transformation of the five models to the final code.

The services landscape is changing with the growing adoption by businesses of the Service Oriented Architecture (SOA), the migration of business solutions to the cloud, and the proliferation of... Show More

The services landscape is changing with the growing adoption by businesses of the Service Oriented Architecture (SOA), the migration of business solutions to the cloud, and the proliferation of smartphones and Internet-enabled handheld devices to consume services. To meet their business goals, organizations increasingly demand services, which can satisfy their functional and non-functional requirements. Service Level Agreements (SLAs) are seen as the means to guarantee the continuity in service provisioning and required levels of service. In this paper, we propose a framework for service provisioning, which aims at providing support for automated SLA negotiation and management. The Service Broker component carries out SLA negotiation with selected service-providers on behalf of service-consumers. Multi-rounds of negotiations are very often required to reach an agreement. In each round, the negotiating parties bargain on multiple SLA parameters by trying to maximize their global utility functions. The monitoring infrastructure is in charge of observing SLA compliance monitoring using measurements obtained from independent third party monitoring services.

With the recent advances in cloud computing and the improvement in the capabilities of mobile devices in terms of speed, storage, and computing power, Mobile Cloud Computing (MCC) is emerging as one... Show More

With the recent advances in cloud computing and the improvement in the capabilities of mobile devices in terms of speed, storage, and computing power, Mobile Cloud Computing (MCC) is emerging as one of important branches of cloud computing. MCC is an extension of cloud computing with the support of mobility. In this paper, the authors first present the specific concerns and key challenges in mobile cloud computing. They then discuss the different approaches to tackle the main issues in MCC that have been introduced so far, and finally focus on describing the proposed overall architecture of a middleware that will contribute to providing mobile users data storage and processing services based on their mobile devices capabilities, availability, and usage. A prototype of the middleware is developed and three scenarios are described to demonstrate how the middleware performs in adapting the provision of cloud web services by transforming SOAP messages to REST and XML format to JSON, in optimizing the results by extracting relevant information, and in improving the availability by caching. Initial analysis shows that the mobile cloud middleware improves the quality of service for mobiles, and provides lightweight responses for mobile cloud services.

Several approaches for services development in SOA (Service Oriented Architecture) suggest business processes as a starting point. However, there is a lack of systematic methods for services... Show More

Several approaches for services development in SOA (Service Oriented Architecture) suggest business processes as a starting point. However, there is a lack of systematic methods for services identification during business analysis. It is recognized that in service engineering, service identification plays a critical role as it lays the foundation for the later phases. Existing Service identification approaches are often prescriptive and mostly ignore automation principles, most are based on the architect's knowledge thus could result in non-optimal designs which results in complicated dependencies between services. In this paper the authors propose a top down approach to identify automatically services from business process by using several design metrics. This approach produces services from business processes as input and using an improved combinatorial particle swarm optimization algorithm with crossover of genetic algorithm. The experimentation denotes that the authors' approach achieves better results in terms of performance and convergence speed.