2011
Modeling Just-in-Time Communication On the Optimal Resource Utilization in Distributed Real-Time Multimedia Applications
Publication
Publication
The applications of multimedia content analysis
(MMCA) operating in real-time environments must run under
extremely strict time constraints. To meet these requirements,
large-scale multimedia applications are typically executed on
Grid systems consisting of large collections of compute clusters.
Therefore, it is essential to optimize the utilization of
the computing resources by determining the optimal number
of compute nodes per cluster, properly balancing the complex
tradeoff between the computation versus communication time.
Next, once the optimal number of resources are available, one
face the ”just-in-time” (JIT) problem of to assigning multi-media
video frames at the right times to the server, so as to obtain the
highest service utilization possible, while minimizing the buffering
time for individual video frames at the server side.
Motivated by these observations, we first develop a simple and
easy-to-implement method to determine the optimal number of
parallel compute nodes. Our method is based on the classical
binary search method for non-linear optimization and is independent
of the (usually unknown) specifics of the system. Second,
we address the JIT problem by introducing a smart adaptive
control method that properly reacts to the continuously changing
circumstances in Grid systems. 1.
Additional Metadata | |
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, | |
Springer | |
Multimedia Tools and Applications | |
Organisation | Probability, Networks and Algorithms |
Yang, R., van der Mei, R., Roubos, D., Seinstra, F. J., & Bal, H. (2011). Modeling Just-in-Time Communication On the Optimal Resource Utilization in Distributed Real-Time Multimedia Applications. Multimedia Tools and Applications. |