MULTI-SCHEDULING TECHNIQUE FOR REAL-TIME SYSTEMS ON EMBEDDED MULTI-CORE PROCESSORS
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, ELECTRONICS AND ELECTRICAL TECHNOLOGY
Author(s): ABDULKADIR YASAR , KAYHAN M. IMRE
Abstract: Recent studies have shown that today's embedded systems require not only real-time ability but also general functionality for running non-real-time applications. In order to provide these two functionalities together on the same system, several techniques and frameworks have been proposed. Integrating different type operating systems on a multi-core processor is one of the most favourable approaches for system designers. However, this heterogeneous approach has some drawbacks. This paper introduces Multi-scheduling method for multi-core hardware platforms without running heterogeneous operating systems concurrently. In this technique, there are two schedulers in single operating system. One is for real-time applications and the other is for general or non-real-time applications. In Multi-scheduling approach, real-time and non-real-time applications run in the same operating system environment so the implementation and maintenance of the system become easier than heterogeneous approache
- Publication Date: 03-Aug-2014
- DOI: 10.15224/978-1-63248-005-7-28
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- Downloads: 0
QUERY OPTIMIZATION METHODS FOR IMPROVE QUERY EXECUTION TIME USING SQL TECHNOLOGIES
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, ELECTRONICS AND ELECTRICAL TECHNOLOGY
Author(s): AHMED KHALAF ZAGER ALSAEDI
Abstract: Generally, the query optimizer cannot be accessed directly by users: once queries are submitted to database, and parsed by the parser, they are then passed to the query optimizer where optimization occurs. Each different way typically requires different processing time. The purpose of query optimization, which is an automated process, is to find the way to process a given query in minimum time. According to the basic operation of query such as scanning, aggregation, join. we present a four type of query a cross different size of tables to explain query performing through execution time to improve query execution time during optimization
- Publication Date: 03-Aug-2014
- DOI: 10.15224/978-1-63248-005-7-30
- Views: 0
- Downloads: 0