CSR: EAGER: Exploratory Research on Scalable Resiliency Through Shadow Computing and Differential Data Replication

随着我们对IT的依赖不断增加，未来的应用程序将涉及处理海量数据，并将需要一个亿级计算基础设施，其中计算、通信和存储元素的数量将增加几个数量级。这样的基础设施将不可避免地包含新的高密度、低延迟和低功耗的非易失性存储器。反过来，这将使失败率增加数量级，使弹性成为一个主要问题。该项目通过采用一种彻底的容错方法来解决这一弹性挑战，这种方法超越了当前的检查点和回滚恢复方法。它引入了创新的、可扩展的容错机制，即影子计算和数据质量(QOD)感知复制，作为可调？弹性框架，利用新的和新兴的内存技术，并考虑数据的性质和底层应用程序的要求。预计该项目将导致对亿级计算平台中多方面和具有挑战性的弹性问题的新见解。该项目的预期结果是一个新的容错计算模型和一套Qod感知的复制方法，与存储级别的弹性相结合，将在亿级计算环境中实现高可用性和最小的访问延迟。该项目寻求让研究生和本科生参与其所有研究项目。除了在研究活动中做出贡献外，参与活动的学生还全面参与外展、传播和社区努力活动。该项目还寻求利用与工业合作伙伴的现有合作，让学生参与暑期实习，并为他们提供在工业环境中进行研究和开发的第一手机会。招聘工作的一个主要目标是争取少数群体和代表性不足群体的学生参与该项目。

As our reliance on IT continues to increase, future applications will involve the processing of massive amounts of data and will require an exascale computing infrastructure in which the number of computing, communications and storage elements will increase by several orders of magnitude. Such an infrastructure will inevitably incorporate new classes of high density, low latency and low power non-volatile memory. This, in turn, will increase by orders of magnitude the rate of failures making resiliency a major concern. This project addresses this resiliency challenge by taking a radical approach to fault-tolerance, which goes beyond the current approach of checkpointing and rollback recover. It introduces innovative and scalable fault-tolerance mechanisms, namely shadow-computing and quality-of-data (QoD) aware replication, as building blocks for a ?tunable? resiliency framework that leverage the new and emerging memory technology and takes into consideration the nature of the data and the requirements of the underlying application. It is expected that the project will lead to new insights into the multi-faceted and challenging resiliency problem in exascale computing platforms. The expected outcomes of the project are a new fault-tolerance computational model and a suite of QoD-aware replication methods that, when combined with storage level resiliency, will lead to high availability with minimized access delay in exascale computing environments. The project seeks to involve graduate and undergraduate students in all its research thrusts. In addition to their contributions in the research activities, involved students also participate fully in outreach, dissemination and community efforts activities. The project also seeks to leverage existing collaboration with industrial partners to involve students in summer internships and provide them with first hand exposure to research and development in an industrial setting. A main objective of the recruiting effort is to seek the involvement of students from minorities and under-represented groups in the project.