CSR: Small: Collaborative Research: Taming Mobile Hardware & OS Diversity for Comprehensive Software Analysis

CSR：小型：协作研究：驯服移动硬件

• 批准号: 1617573
• 负责人: Zhiyun Qian
• 金额: $ 25万
• 依托单位: University of California-Riverside
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-10-01 至 2020-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1617573&HistoricalAwards=false
• 关键词: CSR; Small; Collaborative; Research; Taming

Today, the Android operating system running on mobile systems such as smartphones, tablets, and wearables, is increasingly diverse. This is mainly because Android is heavily customized at multiple layers by many different vendors and mobile carriers, for various reasons including the difference in hardware and brand-specific value-added applications and services. This diversity of Android creates important challenges for testing, debugging, and analysis of software running on these mobile systems, including testing for consistent functionality and performance across different systems, finding crash bugs, analyzing malware, and identifying security vulnerabilities. The goal of this project is to make testing and analysis of the entire software stack of mobile systems running Android faster and more affordable, while at the same time requiring small engineering effort, all despite the diversity of mobile software and hardware. The proposed project will help improve the quality and security of software on mobile systems - a significant benefit to society and the economy. The plan to achieve the aforementioned goals through a cloud-based mobile farm service, which provides virtual mobile instances, or virtual instances for short. Each virtual instance is a virtual machine that runs on powerful servers and that fully resembles the hardware and software configurations of a particular mobile system. By leveraging virtual machines running in servers, the proposed solution will provide a low cost, thus lower prices for the users. The important challenges will be addressed in two research thrusts. The first thrust investigates techniques to consolidate the real mobile systems in the cloud to reduce the overall infrastructure cost. The second research thrust targets at enhancing the performance of virtual instances by leveraging software and hardware techniques such as speculation, record and replay, dynamic boundary, and Remote Direct Memory Access (RDMA).

如今，智能手机、平板电脑和可穿戴设备等移动系统上运行的 Android 操作系统日益多样化。这主要是因为Android是由许多不同的供应商和移动运营商进行多层深度定制的，原因有多种，包括硬件和特定品牌增值应用程序和服务的差异。 Android 的这种多样性给这些移动系统上运行的软件的测试、调试和分析带来了重大挑战，包括测试不同系统之间的一致功能和性能、查找崩​​溃错误、分析恶意软件以及识别安全漏洞。该项目的目标是更快、更经济地测试和分析运行 Android 的移动系统的整个软件堆栈，同时只需要少量的工程工作，尽管移动软件和硬件具有多样性。拟议的项目将有助于提高移动系统软件的质量和安全性，这对社会和经济来说是一项重大利益。 该计划通过基于云的移动农场服务来实现上述目标，该服务提供虚拟移动实例，简称虚拟实例。每个虚拟实例都是在功能强大的服务器上运行的虚拟机，并且完全类似于特定移动系统的硬件和软件配置。通过利用服务器中运行的虚拟机，所提出的解决方案将提供低成本，从而为用户提供更低的价格。重要的挑战将通过两个研究重点来解决。第一个重点研究在云中整合真实移动系统的技术，以降低总体基础设施成本。第二个研究重点旨在通过利用推测、记录和重放、动态边界和远程直接内存访问 (RDMA) 等软件和硬件技术来增强虚拟实例的性能。