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Efficient Partitioning of On-Cloud Remote Executable Code and On-Chip Software for Complex-Connected IoT

机译:高效分区对复杂连接的IOT的云端远程可执行代码和片上软件

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A program running on one processor can easily model the system and analyze power consumption and execution time. However, complex systems in which multiple processors interact are very difficult to model. Creating and simulating a simulation model would be effective for analyzing a complex system. However, the simulation model changes as the connection structure of the system changes. In this paper, we propose a framework that takes a connection structure and creates a simulation model automatically. This framework allows developers to easily create a simulation model by inserting the connection structures between the IoT systems. And we can find efficient part of on-cloud remote executable code and on-chip software in terms of power consumption or execution time.
机译:在一个处理器上运行的程序可以轻松模拟系统并分析功耗和执行时间。然而,复杂的系统,其中多个处理器交互非常难以模拟。创建和模拟模拟模型将有效地分析复杂系统。但是,仿真模型随着系统的连接结构而变化。在本文中,我们提出了一个框架,它采用连接结构并自动创建仿真模型。此框架允许开发人员通过在物联网系统之间插入连接结构来轻松创建模拟模型。我们可以在功耗或执行时间方面找到云远程可执行代码和片上软件的高效部分。

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