ITR: Taming the Data Flood: Systems that Evolve, are Available, and Maintainable (SEAM)

在过去20年里，达到最高性能的问题一直是研究议程的主要问题，但在后PC时代，计算机必须科普大量的新数据，同时还要更加可靠和易于维护，因此，对可用性、可维护性和进化增长（AME）的关注将是次要的。该项目开发了故障插入技术，以测试从硬件和软件故障中的优雅恢复;自我清洗数据结构，检查和修复自己，以提高软件可靠性;以及隔离实时系统子集的能力，以在现场测试AME。在工业伙伴的帮助下，正在建造一个大型原型，以展示这些想法。这项研究是与米尔斯学院的马修·梅兹巴赫合作进行的。"

The problem of attaining peak performance--which has dominated the research agenda for the past 20 years--will be secondary to concerns of availability, maintainability, and evolutionary growth (AME) in the PostPC era, where computers must cope with the flood of new data and yet be much more dependable and maintainable. This project develops fault insertion techniques to test for graceful recovery from hardware and software failures; self-scrubbing data structures that check and repair themselves to improve software reliability; and the ability to isolate subsets of live systems to test AME in the field. A large-scale prototype is being constructed, with the help of industrial partners, to demonstrate these ideas. This research is being carried out in collaboration with Matthew Merzbacher of Mills College."