Runtime Systems for Large-Scale Software Services

大规模软件服务的运行时系统

• 批准号: RGPIN-2018-03964
• 负责人: Karsten, Martin
• 金额: $ 1.68万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=655155
• 关键词: Runtime; Systems; Large; Scale; Software

Runtime systems are the engines that power modern IT services associated with economic growth in the near- and medium-term future, such as big data, finance, web services, or high-performance computing. Especially in the context of cloud computing, runtime systems are often layered, which exposes performance and robustness deficiencies. This research program is concerned with studying the software design of runtime systems in terms of simplicity and efficiency. Simplicity implies robustness (which is related to security), while resource-efficiency is a precondition for high performance and green computing. The general objectives of this research program are increasing the robustness, efficiency, and performance of large-scale software services. These objectives address key challenges still associated with large-scale computing. The proposed research seeks to investigate existing runtime systems and to propose novel approaches for the software design of next generation runtime systems.******The methodology being used includes developing software prototypes that are being published as open-source projects and the systematic experimental evaluation of alternative software designs. In addition to evaluating the novel proposals discussed in this grant application, the research program will also improve the canonical knowledge of software design as it pertains to scalable performance. In practical terms, the proliferation of results through open source software can directly incubate academic research and teaching, as well as industrial development projects.******Many of the improvements sought with this research will be only indirectly visible to end users. Systems will run faster, services operate smoother, and hopefully fail less. At the same time, services can be implemented and provided with fewer investments in special-purpose hardware, thus less capital expenses, and operated with less energy input. This aspect is important from a business point of view (reduced operating expenses), but also from a general societal point of view. Data centres consume significant amounts of electricity and an increase in efficiency will likely lead to a decrease in energy consumption, along with the corresponding benefits for the environment.******The proposed research will benefit the Canadian IT industry, as well as any industry using large-scale software services, by training HQP, disseminating software artifacts, and contributing to the expertise that is locally available for knowledge transfer. Furthermore, the environmental benefits from reduced energy consumption for large-scale computing services will be beneficial to society in general.**

物联网系统是驱动与近期和中期经济增长相关的现代IT服务的引擎，例如大数据、金融、Web服务或高性能计算。特别是在云计算的背景下，运行时系统通常是分层的，这暴露了性能和鲁棒性的缺陷。本研究计划关注的是研究运行时系统的软件设计的简单性和效率。简单性意味着健壮性（这与安全性有关），而资源效率是高性能和绿色计算的先决条件。该研究计划的总体目标是提高大型软件服务的健壮性，效率和性能。这些目标解决了仍然与大规模计算相关的关键挑战。拟议的研究旨在调查现有的运行时系统，并为下一代运行时系统的软件设计提出新的方法。所使用的方法包括开发软件原型，作为开放源代码项目发布，以及对替代软件设计进行系统的实验评估。除了评估本资助申请中讨论的新提案外，该研究计划还将提高软件设计的规范知识，因为它涉及可扩展性能。实际上，通过开源软件扩散的成果可以直接孵化学术研究和教学，以及工业发展项目。这项研究所寻求的许多改进对最终用户来说只是间接可见的。系统将运行得更快，服务将运行得更顺畅，并有望减少故障。同时，服务的实施和提供可以减少对专用硬件的投资，从而减少资本支出，并以更少的能源投入运行。这一方面从商业的角度（减少运营费用）来看很重要，但从一般社会的角度来看也很重要。数据中心消耗大量电力，提高效率可能会导致能耗下降，沿着对环境产生相应的好处。*拟议中的研究将有利于加拿大IT行业，以及任何行业使用大规模的软件服务，通过培训HQP，传播软件工件，并有助于专业知识，是当地提供的知识转移。此外，减少大规模计算服务的能源消耗所带来的环境效益将有利于整个社会。