Parser as a Novel Reliability Implementation in the Pervasive Computing

The ubiquity of mobile devices affects the way society works beyond voice and text messaging. Smart phone capabilities have become similar to those of computers. They promote users to engage in social networking, flash reports, and other vital applications. These mobile devices can also be used to control other devices. However, the heterogeneity of operating systems, hardware, and protocols has brought about the challenge of ensuring that messages could be reliably transferred between these mobile devices with different communicating equipments. Hence in this paper, we showed how a parser could be used as a reliability mechanism over our proposed system. Additionally, we showed how message queue was used as a technique for the pervasive computing to interoperate

A kinesthetic-based collaborative learning system for distributed algorithms

In this paper, we present a learning support system DASE-E to help students understand fundamental concepts of distributed algorithms in computer science. DASE-E is a collaborative learning system, in which the task of students is to devise a distributed algorithm. DASE-E offers a set of small wireless terminals with accelerometers. Each student plays the role of a process with a terminal, according to the algorithm that students devised. Each terminal enables a student to take physical actions that control the behavior of a process in the simulator. After the role playing simulation is finished, students discuss their activity played back on a screen. We implemented the system for learning distributed leader election algorithms, had a trial exercise in our research group, and we confirmed that it is effective to learn the critical part of distributed systems and algorithms