Application of Mobile Agents in Mobile Data Access Systems

Abstract

Creating a global information-sharing environment in the presence of autonomy and heterogeneity of data sources is a difficult task. When adding mobility and wireless medium to this mix, the constraints on bandwidth, connectivity, and resources worsen the problem. Our past research in global information sharing systems resulted in the design, implementation, and prototype of a search engine, the summary schemas model, which supports imprecise global accesses to the data sources while preserving local autonomy. We extended the scope of our search engine by incorporating mobile agent technology. The use of mobile agents alleviates many problems associated with wireless communication. We devised and implemented the MAMDAS system, which applies mobile agent technology in a mobile data access system framework. As shown by our experimental study, MAMDAS achieved better performance, scalability, portability, and robustness compared to its predecessors.

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

“…In our design, each global transaction (GT) is decomposed into global subtransactions (GSTs) using the transaction resolution process defined by the SSM [8]. Each local database ensures local serializability and resolves local deadlocks.…”

Transactional Agents for Pervasive Computing

“…The relationships between terms in the SSM include synonyms, hypernyms (broader terms) and hyponyms (narrower terms). The participating hosts are partitioned into semantic-related groups called semantic-based clusters based on the semantic similarity of their data content as determined by the online thesaurus [7]. Small clusters are recursively merged into larger clusters, fusing their data contents to a more general description associated with the larger cluster.…”

Recent Advances in Mobile Agent‐Oriented Applications

“…MAMDAS stands for mobile agent-based mobile data access systems [3]. Its design aims to alleviate two major difficulties in large-scale mobile data access systems: heterogeneity and mobility of data sources and/or users.…”