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Detailed Explanation of Mobile Agent Embedded Mobile Database and Implementation of Query Optimization
With the rapid advancement and widespread integration of network technology, accessing information anytime and anywhere through the internet has become a fundamental expectation for people in the 21st century. As mobile communication technologies continue to evolve and user demand for handling mobile data increases, embedded mobile database systems—integrated with various intelligent devices—have gained significant attention from academia, industry, military, and civilian sectors. Mobile computing and mobile database technologies are now essential in meeting these growing needs.
A mobile database is essentially a distributed database that operates within a mobile computing environment. Since these databases are often embedded in portable devices such as handheld computers, PDAs, and in-vehicle systems, they are frequently referred to as embedded mobile databases. Historically, research on distributed databases was based on wired networks and fixed hosts, relying on assumptions like stable connections, peer-to-peer communication costs, and static host nodes. However, since the 1990s, the development of mobile communication and networking technologies, along with the proliferation of mobile devices, has challenged these assumptions. Mobile computing environments are characterized by mobility, limited bandwidth, frequent disconnections, asymmetric communication, and power constraints, which have led to the adaptation of traditional distributed database techniques for mobile settings. Today, mobile database research has become a major focus in academic circles, attracting numerous researchers into this emerging field.
Embedded mobile database architecture differs significantly from traditional distributed systems. In a conventional setup, each node is connected via a fixed network. In contrast, a mobile computing system consists of both fixed and mobile nodes, creating a more dynamic and complex environment. The characteristics of mobile computing include mobility, intermittent connectivity, varying bandwidth, scalability, weak reliability, asymmetric communication, and limited power. A mobile database can be seen as an extension of a traditional distributed database, where clients dynamically connect to fixed server nodes. The structure of a mobile database system is illustrated in Figure 1.
In this architecture, the mobile client (MC) refers to devices such as portable computers and PDAs. The Mobile Support Station (MSS) acts as a fixed node that supports mobile computing, equipped with wireless communication interfaces. The Fixed Host (FH), on the other hand, does not have wireless capabilities and hosts the database and its management system.
Key technologies in embedded mobile databases include data replication and caching, data broadcasting, and location-based query optimization. These technologies address challenges such as intermittent connectivity, mobility, and asymmetric communication. Data replication and caching help maintain data consistency in mobile environments, while data broadcasting allows efficient delivery of information to mobile users. Location-based query optimization ensures that queries adapt to changing network conditions and power limitations, enhancing performance and energy efficiency.
For instance, when using a split-based address update policy, the mobile user object maintained by the location server includes several components: a Split Set that records the partitioning of the MSS, a LOC that tracks the last reported location, an ERR that represents the current partition, and a Loc() method that returns the actual user address. These features enable effective management of location updates in mobile environments.
Overall, the evolution of embedded mobile databases continues to shape the future of mobile computing, offering innovative solutions to meet the demands of an increasingly connected world.