Applying Multiple Query Optimization in Mobile Databases
نویسندگان
چکیده
We apply multiple query optimization to batches of pull (on-demand) requests in a mobile database system. The resulting view can answer several queries at once, and it is broadcast on a view channel dedicated to common answers of multiple queries rather than over individual downlink channels. A performance study is conducted that simulates different query workloads. The results indicate a significant savings in channel bandwidth usage and a reduction in average wait time for a multi-query approach compared to a traditional pull-based approach. keywords: mobile database, data broadcast, multiple query optimization.
منابع مشابه
Relational Databases Query Optimization using Hybrid Evolutionary Algorithm
Optimizing the database queries is one of hard research problems. Exhaustive search techniques like dynamic programming is suitable for queries with a few relations, but by increasing the number of relations in query, much use of memory and processing is needed, and the use of these methods is not suitable, so we have to use random and evolutionary methods. The use of evolutionary methods, beca...
متن کاملA Query Processing Model for Mobile Computing using Concept Hierarchies and Summary Databases
We present a query-processing model for mobile computing using summary databases (database stored in some predefined condensed form). We use concept hierarchies to generate summary databases from the main database in various ways. Traditional database management systems are correct in that they are able to provide answers to queries that are both sound and complete with respect to the source da...
متن کاملRedesign Based Optimization for Distributed Databases
The execution process of the queries in distributed databases require accurate estimations and predictions for performance characteristics. The problems of data allocation and query optimization done by means of mobile agents and evolutionary algorithms are considered. These problems still present a challenge because of the dynamic changes in number of components and architectural complexity of...
متن کاملInteractive Multi-Objective Query Optimization in Mobile-Cloud Database Environments based on a Weighted Sum Model
Multiple cost objectives such as monetary cost, query execution time and mobile device energy consumption have to be considered for query optimization in mobile-cloud database environments where multiple users on mobile devices request services executed on a cloud. Requested data might be partially cached on the mobile device itself or has to be processed on the cloud which leads to those vario...
متن کاملEnergy Eecient Query Optimization
Recently, a number of small yet powerful mobile computers have appeared on the market. Endowed with large disk capacity and network hardware, such systems are capable of holding large amounts of data, as well as of exchanging information with other hosts on a distributed system. These features suggest the need for the design and implementation of a distributed database system for mobile compute...
متن کامل