SOFTWARE DEFINED CUSTOMIZATION OF NETWORK PROTOCOLS WITH LAYER 4.5

The rise of software defined networks, programmable data planes, and host level kernel programmability gives rise to highly specialized enterprise networks. One form of network specialization is protocol customization, which traditionally extends existing protocols with additional features, primarily for security and performance reasons. However, the current methodologies to deploy protocol customizations lack the agility to support rapidly changing customization needs. This dissertation designs and evaluates the first software-defined customization architecture capable of distributing and continuously managing protocol customizations within enterprise or datacenter networks. Our unifying architecture is capable of performing per-process customizations, embedding per-network security controls, and aiding the traversal of customized application flows through otherwise problematic middlebox devices. Through the design and evaluation of the customization architecture, we further our understanding of, and provide robust support for, application transparent protocol customizations. We conclude with the first ever demonstration of active application flow "hot-swapping" of protocol customizations, a capability not currently supported in operational networks.Office of Naval Research, Arlington, VA 22203Lieutenant Commander, United States NavyApproved for public release. Distribution is unlimited

A chromosome-based draft sequence of the hexaploid bread wheat (Triticum aestivum) genome

An ordered draft sequence of the 17-gigabase hexaploid bread wheat (Triticum aestivum) genome has been produced by sequencing isolated chromosome arms. We have annotated 124,201 gene loci distributed nearly evenly across the homeologous chromosomes and subgenomes. Comparative gene analysis of wheat subgenomes and extant diploid and tetraploid wheat relatives showed that high sequence similarity and structural conservation are retained, with limited gene loss, after polyploidization. However, across the genomes there was evidence of dynamic gene gain, loss, and duplication since the divergence of the wheat lineages. A high degree of transcriptional autonomy and no global dominance was found for the subgenomes. These insights into the genome biology of a polyploid crop provide a springboard for faster gene isolation, rapid genetic marker development, and precise breeding to meet the needs of increasing food demand worldwide

Insights into the accuracy of social scientists' forecasts of societal change

How well can social scientists predict societal change, and what processes underlie their predictions? To answer these questions, we ran two forecasting tournaments testing the accuracy of predictions of societal change in domains commonly studied in the social sciences: ideological preferences, political polarization, life satisfaction, sentiment on social media, and gender-career and racial bias. After we provided them with historical trend data on the relevant domain, social scientists submitted pre-registered monthly forecasts for a year (Tournament 1; N = 86 teams and 359 forecasts), with an opportunity to update forecasts on the basis of new data six months later (Tournament 2; N = 120 teams and 546 forecasts). Benchmarking forecasting accuracy revealed that social scientists' forecasts were on average no more accurate than those of simple statistical models (historical means, random walks or linear regressions) or the aggregate forecasts of a sample from the general public (N = 802). However, scientists were more accurate if they had scientific expertise in a prediction domain, were interdisciplinary, used simpler models and based predictions on prior data. How accurate are social scientists in predicting societal change, and what processes underlie their predictions? Grossmann et al. report the findings of two forecasting tournaments. Social scientists' forecasts were on average no more accurate than those of simple statistical models