A dependable and economic service for long-life e-learning applications in grid environments

AbstractDeveloping highly available, reliable, scalable and mobile educational systems are so difficult or impossible in the client-server and web service architectures. On the other hand, a grid environment is such a large distributed system that it supports large numbers of distributed resources sharing. The grid environment can be used as a good platform for the long-life, online and mobile educational applications which need high availability, reliability and scalability. The possibility of failure occurrence on the educational resources during a running educational application on the grid environment is not negligible. This paper proposes a dependable and economic learning service in grid systems. The other focus in this paper is to minimize educational resource consumption and consequently decrease the cost of requested learning services by the learners in the economic grid. A hybrid and dynamic resource management method is used to improve the availability, reliability, scalability and stability of learning service with low resource consumption. An analytical approach, Markov model, is used to show the availability, reliability, stability improvement in the proposed method

Model-Driven Methodology for Rapid Deployment of Smart Spaces based on Resource-Oriented Architectures

Advances in electronics nowadays facilitate the design of smart spaces based on physical mash-ups of sensor and actuator devices. At the same time, software paradigms such as Internet of Things (IoT) and Web of Things (WoT) are motivating the creation of technology to support the development and deployment of web-enabled embedded sensor and actuator devices with two major objectives: (i) to integrate sensing and actuating functionalities into everyday objects, and (ii) to easily allow a diversity of devices to plug into the Internet. Currently, developers who are applying this Internet-oriented approach need to have solid understanding about specific platforms and web technologies. In order to alleviate this development process, this research proposes a Resource-Oriented and Ontology-Driven Development (ROOD) methodology based on the Model Driven Architecture (MDA). This methodology aims at enabling the development of smart spaces through a set of modeling tools and semantic technologies that support the definition of the smart space and the automatic generation of code at hardware level. ROOD feasibility is demonstrated by building an adaptive health monitoring service for a Smart Gym