Implementation of Optimal energy efficient, load aware dynamic memory management system using Task Monitoring Algorithm

Abstract

Embedded system is considered as a variety of computer system has developed for certain dedicated application usually along real-time computing restraints. The recent and complex applications include multimedia streaming and signal processing makes dynamic memory allocation mandatory system. During the advancement of an embedded system, memory management becomes a major problem. The main difficult associated with memory allocation algorithm is decrease fragmentation; offer good response times and maintain a good place between memory blocks. To reduce this problem, an optimal energy efficient load aware dynamic memory management (ELDMM) is proposed. First, the optimal clustering algorithm is utilized to separate and allocate the transient objects to heap memory which decrease memory fragmentation. Second, optimal signal-to-memory mapping algorithm is employed for hierarchical memory organization using evaluation of bounding windows. Moreover, the proposed system computes the amount of extra storage after mapping using task monitoring algorithm which reduces the energy consumption. The results reveal that the proposed ELDMM system along FPGA memory resources could be obtained at a well lower latency along minimal resource overhead and lower energy consumption. In the future, the presented technique can be developed for improving the efficiency which is utilized to improve the performance.