Agent-Based Infrastructure for Data and Transaction Management in Mobile Heterogeneous Environment

Abstract

Mobile technology and advances in databases have allowed users to access and manipulate data across multiple heterogeneous and autonomous data sources via wireless connection, namely mobile multidatabase system. Transaction management in this environment is nontrivial due to heterogeneity and autonomy of the participating data sources, frequent disconnections, and technological constraints of the access devices. Agentbased Transaction Management scheme for Mobile Multidatabase (AT3M) systems uses autonomous agents to enable a fully distributed transaction management, accommodates users' mobility, allows parallel execution of the global subtransactions, and responds to some of the limitations of the technology. The framework is augmented to support user connectivity and mobility in internetworking environment and to provide QoS-based services. The performance of the proposed AT3M is simulated and evaluated. The simulation study shows that the proposed scheme outperforms the V-locking and the Pre-Serialization schemes, as advanced in the literature.

PERCEPOLIS: Pervasive Cyberinfrastructure for Personalized Learning and Instructional Support

“…As an example, a quantitative study of the effect of mobile agents on reducing communication cost, improving response time, and conserving energy is reported in [9]. Our previous work includes the application of mobile agents within the scope of the mobile data access systems and dynamically-configured sensor networks [8], [10][11][12][13][14]. Especially relevant to the proposed cyberinfrastructure is the development of a prototype mobile data access system that demonstrates the suitability and robustness of mobile agent technology in a global information sharing environment characterized by limited network bandwidth, power, and computational resources; and weak and unreliable network connectivity.…”

“…We use our research experiences in the area of multidatabases [22], mobile data access systems [19,23], and mobile agent technology [9][10][11][12][13][14] to develop:  A semantic network (where entities are interconnected based on their semantics) and semantic metadata that integrates course modules within and across curricula (networked curriculum).  A navigational tool that enables a student to follow a personalized trajectory of modules for each course, which has been determined based on information including his/her academic profile, interests, learning style, and special needs.…”