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Face-storing database software
Selecting the combination of hardware and commercially available real-time database software is a decision that almost every embedded systems designer must make these days. Data management has become crucial in embedded computing devices. Particularly when designing facial recognition systems, engineers want database products that meet the varying needs of embedded systems used in real-time enterprise applications.
preview: http://www.embedded-computing.com   date: 02/19/2009 |

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More content, guided by database
Cinema fans who get their flicks via mailed DVDs and bits streamed over the Internet might want to consider another option: Why not download your top movie picks onto Secure Digital (SD) cards at retail stores? MOD Systems, a tech firm backed by electronics giants Toshiba and NCR, has created a media-on-demand distribution system to make that happen. MOD Systems, which has inked digital distribution deals with major studios, offers a...
preview: http://www.embedded-computing.com   date: 01/25/2010 |

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White Paper: In-Memory Database Systems (IMDSs): Pushing Past the Terabyte-Plus Boundary
In-memory database systems (IMDSs) hold out the promise of breakthrough performance for time-sensitive, data-intensive tasks. Yet IMDSs’ compatibility with larger databases has been largely uncharted. This benchmark analysis fills the information gap and pushes the boundaries of IMDS size and performance. Using McObject’s 64-bit eXtremeDB-64, the application creates a 1.17 Terabyte, 15.54 billion row database on a 160-core Linux-based SGI®...
preview: http://www.embedded-computing.com   date: 09/28/2009 |

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White Paper: In-Memory Database Systems: Myths and Facts
In the past decade, software vendors have emerged to offer in-memory database system (IMDS), which are described as a new type of database management system (DBMS) that accelerates information storing, retrieving and sorting by holding all records in main memory. This eliminates a major source of processing overhead and delivers significant performance gains. But is this idea new? For years, DBMSs have employed caching, which keeps frequently...
preview: http://www.embedded-computing.com   date: 06/26/2009 |

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White Paper: SQL vs. Navigational Database APIs: Which Best Fits Embedded Systems?
As embedded systems grow smarter, developers are turning to off-the-shelf database management systems (DBMSs) to support new, data-intensive features. In doing so, developers confront a variety of database application programming interfaces (APIs), and must choose the right one for their projects. One choice is SQL, a high-level language developed for business systems, which has been extended into the embedded systems environment. Developers ...
preview: http://www.embedded-computing.com   date: 06/26/2009 |

tutorial    

Building Carrier Grade Applications Using a Highly Available Database Management System
In many areas, including the network infrastructure, developers are challenged with the task of building applications that run for very long periods without appreciable downtime. These are called highly available applications. Because they often manage large amounts of data, such applications are well-served by a high-availability database management system (HA-DBMS). This paper discusses the value of an HA-DBMS, and some key tradeoffs which...
preview: http://www.iec.org   |

tutorial    

In-Memory Databases for Voice and Data Networks
Mass acceptance of the Internet, mobile telephony, and high-speed network services has changed the way individuals communicate, necessitating a fundamental shift in the way these services are delivered. In this market, attracting and keeping customers means bringing innovative new services to market quickly, while ensuring that those services can scale to meet high volumes of subscribers reliably. In direct response to these demands,...
preview: http://www.iec.org   |