Software debugging and monitoring for heterogeneous many-core telecom systems

通信和计算基础设施正迅速向不同格式的移动客户端（手持电话、平板电脑或车载系统）发展，这些客户端可以访问云中的大量服务器。在过去的几十年里，随着客户机、服务器和网络节点中的处理器现在并行运行许多处理器核心，该基础设施的复杂性一直在迅速增加，通常具有特定于应用程序的硬件支持（视频或网络处理）。其中一些硬件模块包含超过10亿个逻辑元件（晶体管）。增加这种复杂性的是对虚拟化的日益依赖，虚拟化隐藏了硬件的特殊性，允许应用程序在几个不同的模型上运行，但使性能更难以分析。

The communication and computing infrastructure is rapidly evolving towards mobile clients in different formats (handheld phones, tablets or on-board systems in cars) accessing a large number of servers in the Cloud. The complexity of that infrastructure has been increasing rapidly over the last several decades with the processors in the clients, servers and networking nodes now running many processor cores in parallel, often with application specific hardware support (video or network processing). Some of these hardware modules contain over one billion logic elements (transistors). Adding to this complexity is the increasing reliance on virtualization, which hides the specificities of the hardware and let an application run on several different models, but makes the performance more difficult to analyse. As a result, even a simple request like initiating a phone call, or making a Web search, can involve many parallel processors on several servers. Moreover, the same request issued a few seconds later may be served in a different way by different physical servers. Therefore, understanding the performance of these services has become extremely difficult and the tools for that purpose are severely lacking. In this project, existing tools for monitoring, profiling and debugging many-core systems will be extended in several ways, to share common mechanisms for data measurement and extraction, and to extract information from several layers (hardware, operating system, virtual machines, middleware and application layers). Similarly, the tools to analyse this extracted data will be extended to operate in parallel and to relate the data to the high level program constructs designed by the software engineers. As a result, the designers and operators of distributed applications on mobile devices and cloud servers will have the tools in hand to quickly analyze their system performance, find problems and optimize operations.