Service-Oriented Architecture for Providing ITS Services in Vehicular Ad Hoc Networks

Vehicular Ad hoc Network (VANET) is the cutting edge technology for smart transportation. VANET becomes an important aspect of the Intelligent Transport System (ITS). Different safety and non-safety applications have been developed for VANET. The inspiration behind VANET is to provide safe, and pleasant journeys to the drivers and passengers. Although the quality of software depends upon its architecture, most of them do not give proper attention to the consideration of Software-Oriented Architecture (SOA) for providing safety and non-safety ITS services in VANET. To address this issue, we proposed an efficient software architecture by highlighting the important operations and services of the system. The performance of the proposed architecture is evaluated by several design metrics and the results are compared with a state-of-the-art solution. The results showed that our proposed architecture has low coupling and high cohesion factors. Furthermore, the results reveal that our architecture is less complex and more reusable. From the results, we conclude that the proposed architecture is suitable for providing safety and non-safety ITS services and will pave the way for the implementation of the futuristic vision of the ITS

Innovative Evaluation System – IESM: An Architecture for the Database Management System for Mobile Application

As the mobile applications are constantly facing a rapid development in the recent years especially in the academic environment such as student response system [1-8] used in universities and other educational institutions; there has not been reported an effective and scalable Database Management System to support fast and reliable data storage and retrieval. This paper presents Database Management Architecture for an Innovative Evaluation System based on Mobile Learning Applications. The need for a relatively stable, independent and extensible data model for faster data storage and retrieval is analyzed and investigated. It concludes by emphasizing further investigation for high throughput so as to support multimedia data such as video clips, images and documents

Asynchronous Graph Pattern Matching on Multiprocessor Systems

Pattern matching on large graphs is the foundation for a variety of application domains. Strict latency requirements and continuously increasing graph sizes demand the usage of highly parallel in-memory graph processing engines that need to consider non-uniform memory access (NUMA) and concurrency issues to scale up on modern multiprocessor systems. To tackle these aspects, graph partitioning becomes increasingly important. Hence, we present a technique to process graph pattern matching on NUMA systems in this paper. As a scalable pattern matching processing infrastructure, we leverage a data-oriented architecture that preserves data locality and minimizes concurrency-related bottlenecks on NUMA systems. We show in detail, how graph pattern matching can be asynchronously processed on a multiprocessor system.Comment: 14 Pages, Extended version for ADBIS 201