Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Recently, a number of event-centric models have been proposed for analyzing multimedia applications running on multiprocessor system-on-chip (SoC) platforms. This has given shape to a general framework using which different timing and performance analysis questions can be ansred in a single coherent manner. Central to this framework is a model for expressing the timing properties associated with different multimedia streams and a means for computing how these properties change as a stream gets successively processed by the different processors of a platform. In contrast to standard event models like periodic or sporadic, this model can accurately capture the data-dependent execution time variabilities associated multimedia tasks and the burstiness of on-chip traffic resulting from multimedia processing. ,  give a high-level view of this framework, describe setups which currently can be modelled using it, and identify possible directions in which this framework should be extended to make it more usable.
['Samarjit Chakraborty']
I am writing a research paper on a idea Towards a framework for system-level design of multiprocessor SoC platforms for media processing
[{"from": "human", "value": "I am writing a research paper on a idea Towards a framework for system-level design of multiprocessor SoC platforms for media processing"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Recently, a number of event-centric models have been proposed for analyzing multimedia applications running on multiprocessor system-on-chip (SoC) platforms. This has given shape to a general framework using which different timing and performance analysis questions can be ansred in a single coherent manner. Central to this framework is a model for expressing the timing properties associated with different multimedia streams and a means for computing how these properties change as a stream gets successively processed by the different processors of a platform. In contrast to standard event models like periodic or sporadic, this model can accurately capture the data-dependent execution time variabilities associated multimedia tasks and the burstiness of on-chip traffic resulting from multimedia processing. ,  give a high-level view of this framework, describe setups which currently can be modelled using it, and identify possible directions in which this framework should be extended to make it more usable."}]