Abstract
The Internet of Things (IoT) devices send and receive data to edge nodes that process the data and perform necessary actions. The rise of these clustered end-node IoT devices will considerably increase the delay in data transmission. In this paper, we analyse the performance and executional characteristics of several IoT devices to enable efficient node computing. The benchmarks related to varying applications are classified and we analyse the micro-architectural characteristics of embedded system devices. We discuss the implications of energy consumption and the effect of leakage power reduction among various architectures. We also investigate the impact of multiple supply voltage (MSV) for overall power reduction in the state-of-the-art processors. The computational characteristics of microprocessor devices including execution time, energy, performance, and power impacts are evaluated using several evaluation metrics. The proposed work provides a comprehensive analysis for the design of modern microprocessor architectures for heterogeneous applications. Finally the importance of artificial intelligence (AI) processor for cloud computing applications is discussed extensively.
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