Despite the rapid changes in hardware, the changes in the data management
software occur slowly, primarily because the commercial DBMS vendors are
heavily invested in the disk-primary database architecture. While this
disk-primary architecture can benefit from large memory as well using it
as the buffer for the disk-resident data blocks, the performance gain is
inherently limited by the indirect nature of data access and many disk-primary
design decisions.
The Main-Memory DBMS assumes that the database resides primarily in
memory. This memory-primary architecture, free from the overhead of mapping
between memory and disk, has many advantages over the disk-primary architecture
such as better focus on the utilization of CPU power and IO channel capacity,
and the ease of tuning the system. This talk reviews the current state
of main memory database research and shows why the memory-primary data
management architecture wins the disk-primary one in many performance-hungry
applications in telecom and Internet, often, by orders of magnitude.
Dr. Shan has served as chairperson or program committee members in many
conferences. He will serve as the general chairs for VLDB TES. 2001 and
ICDE RIDE-2EC'2002, and as a guest editor for VLDB Journal, 2001. Dr. Shan
is a lecture professor at UC-Berkeley, California State University,
and Santa Clara University. He has published more than 50 research papers
and been granted 15 software patents.
MPEG-7 presents a number of significant technical challenges for
multimedia databases. Since MPEG-7 standardizes only the metadata
structures themselves (Descriptors and Description Schemes) and the Description
Definition Language (DDL), it is left open for industry competition and
future innovation to produce technologies for extracting, searching, and
filtering MPEG-7 descriptions. For one, new query methods are needed
for similarity matching with fuzzy constraints across the different levels
of multimedia content description, including features, structure, and semantics.
In addition, specialized database index structures are needed for MPEG-7
Descriptors because of their high-dimensionality and specialized metrics.
New methods are also needed for automatically classifying multimedia content
at the semantic level based on automatically extracted features.
In this tutorial, we study the problems of content-based retrieval from
multimedia databases, review the emerging MPEG-7 standard, and examine
the new challenges for supporting MPEG-7 in multimedia databases.