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Ever-higher processing speeds are required for efficient database management.
Primary data and computational results must be logically and consistently organized in a non-redundant way: this can be achieved by the definition of ad hoc data models and the use of efficient database management systems.
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Cloud exploits this advantage by providing a more cost-efficient, outsourced database management solution that allows enterprises to easily store, manage, and process large volumes of data.
Those objectives can be classified into two types: (i) security objectives (i.e., to achieve certain security properties such as integrity of the watermarked image) and (ii) non-security objectives (e.g., annotation for an efficient image-database management).
Thus, a current challenging problem is to detect a variety of non-stationary biosignal activities with a low computational complexity, to provide tools for efficient biosignal databases management and annotation.
In general, AVMS adopts efficient but expensive commercial database management systems (DBMSs) to yield good AVMS performance.
PHP and MySQL combination is quite efficient and powerful for database management.
Systolic arrays (SAs) are very efficient architectures for multimedia processing, database management, and scientific computing applications that are characterized by a high number of data access.
LD-Spline also has the great advantage of running as a fast and efficient self-contained procedure within the database management system, allowing seamless integration with existing database queries and operations.
Then the focus is moved to the main point of the paper, which is the integration of the aforementioned techniques within a database management system, which provides efficient, flexible, scalable, and domain independent content-based video retrieval.
This chapter introduces self-managing technology in database management systems.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com