Graphics Reference
In-Depth Information
Fig. 12.3
An illustration of the LiD4E design tool and its application to DDDAS-enabled, multi-
media, stream mining system design
cameras) based on the currently active regions of the streammining design spaces,
as estimated, for example, with the help of the abstract models described above.
•
Development of methods to dynamically optimize the mapping of ASM topologies
onto the targeted hardware platforms based on current configurations for the
topologies, and their constituent classifiers. This mapping process may be espe-
cially challenging due to dynamics in stream mining topology characteristics,
resource constraints on the target platforms or severe application requirements in
terms of the volume of image data that needs to be processed, real-time constraints,
etc.
Lightweight Dataflow for Dynamic Data-Driven Application Systems Environment
(
LiD4E
) is a recently-developed design tool to help in the investigation of these chal-
lenges and other aspects of DDDAS-enabled stream mining systems. We discuss
LiD4E next, in Sect.
12.4.2
.
12.4.2 LiD4E
In this section, we provide an overview of LiD4E, which is a design environment that
has been developed to facilitate experimentation with methods for DDDAS-enabled
ASM system design, with emphasis on multimedia ASM systems [
35
].
