Mathematical Models of Mobile Computing Devices and Application Software

移动设备和应用程序的广泛使用正在为加拿大人带来大规模的经济效益。根据市场研究公司Nordicity为加拿大无线通信协会（Canadian Wireless Telecommunications Association）准备的2016年报告，加拿大无线通信生态系统中的公司在2015年创造了489.6亿美元的收入。智能手机、嵌入式设备、可穿戴设备和无线传感器都是移动设备的例子。它们在新兴应用中发挥着关键作用：个人通信、金融交易、资产监控、自动驾驶汽车、基于无人机的国界和冲突地区监控，以及武装部队执行的传感和通信。移动设备变得越来越强大，拥有功能丰富的操作系统、多核处理器、千兆内存、多无线电接口和一系列传感器。然而，与台式电脑不同，移动设备依靠电池运行，并且在恶劣的通信环境中运行。设计健壮的移动应用程序的主要挑战包括恶意代码的建模和识别、单个应用程序和设备的功耗建模、性能测试的测试套件设计以及延长电池寿命。

The widespread use of mobile devices and applications (apps) is translating into large-scale economic benefits for Canadians. According to a 2016 report prepared by the market research firm Nordicity for the Canadian Wireless Telecommunications Association, companies in the Canadian wireless communications ecosystem generated $48.96 billion in revenue in 2015. Smartphones, embedded devices, wearable devices, and wireless sensors are examples of mobile devices. They play key roles in emerging applications: personal communication, financial transactions, asset monitoring, autonomous vehicles, drone-based monitoring of national borders and conflict zones, and sensing and communications performed by the armed forces. Mobile devices have become increasingly powerful, with feature-rich operating systems, multi-core processors, gigabytes of memory, multi-radio interfaces, and an array of sensors. However, unlike desktops, mobile devices run on batteries and operate in harsh communication environments. Among the key challenges in designing robust mobile apps are modeling and identification of malicious code, modeling of the power cost of individual apps and devices, designing test suites for performance testing, and extending battery life.