Abstract
Due to an increased scalability, flexibility, and reduced cost complexity, the dynamic memory allocation models are highly preferred for the real-time embedded systems. For this purpose, the different types of dynamic models have been developed in the conventional works, which are highly focused on allocating the memory blocks with increased searching capability. However, it faced some of the problems and issues related to the factors of complex operations, high time consumption, memory overhead, and reduced speed of processing. Thus, this research work objects to design an advanced and intelligent dynamic memory allocation mechanism for the real-time embedded systems. Here, a Classy Memory Management System (CyM2S) is developed by using an Isolated Dynamic Two-Level Memory Allocation (ID2LMA) algorithm for efficiently allocating the memory blocks with simple searching. The CyM2S helps to reduce the fragmentation rate and time consumption by optimally allocating the memory blocks. In this model, the small buffer has been maintained for surplus pointers, and the allocated blocks comprise the metadata and payload data. During evaluation, the performance of the proposed CyM2S- ID2LMA technique is validated and compared by using the measures of memory allocation time, release time, execution, and processing speed.
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