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

在PostPC时代，与可用性、可维护性和进化增长(AME)的担忧相比，达到峰值性能的问题将是次要的，过去20年来，这一问题一直主导着研究议程。在PostPC时代，计算机必须处理大量新数据，但仍要可靠和可维护得多。该项目开发了故障插入技术，以测试从硬件和软件故障中正常恢复；自我清理数据结构，自我检查和修复以提高软件可靠性；以及隔离活动系统的子集以在现场测试AME的能力。在工业伙伴的帮助下，一个大规模的原型正在建造中，以展示这些想法。这项研究是与米尔斯学院的马修·默兹巴赫合作进行的。

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."