This project compares multiple construction materials and assemblies in order to find options which will improve the life cycle performance of... Show moreThis project compares multiple construction materials and assemblies in order to find options which will improve the life cycle performance of retail big box structures, using Walmart Supercenters as a specific case study. It utilizes the Athena EcoCalculator to accomplish this task. Show less
This project compares multiple construction materials and assemblies in order to find options which will improve the life cycle performance of... Show moreThis project compares multiple construction materials and assemblies in order to find options which will improve the life cycle performance of retail big box structures, using Walmart Supercenters as a specific case study. It utilizes the Athena EcoCalculator to accomplish this task. Show less
On May 22, 2011, Joplin, Missouri was struck by a powerful EF-5 tornado. The nearly one-mile wide tornado cut a path almost 22 miles in length... Show moreOn May 22, 2011, Joplin, Missouri was struck by a powerful EF-5 tornado. The nearly one-mile wide tornado cut a path almost 22 miles in length, destroying over 7,000 homes and about 2,000 other structures. Among the buildings completely destroyed during the storm was Joplin High School. The rebuilding of the school is an important step for the community to heal and grow from the devastation. The intent of the design is to improve the quality of education by incorporating collaborative learning spaces, integrating technology and promoting environmental responsibility. Show less
This project compares multiple construction materials and assemblies in order to find options which will improve the life cycle performance of... Show moreThis project compares multiple construction materials and assemblies in order to find options which will improve the life cycle performance of retail big box structures, using Walmart Supercenters as a specific case study. It utilizes the Athena EcoCalculator to accomplish this task. Show less
On May 22, 2011, Joplin, Missouri was struck by a powerful EF-5 tornado. The nearly one-mile wide tornado cut a path almost 22 miles in length... Show moreOn May 22, 2011, Joplin, Missouri was struck by a powerful EF-5 tornado. The nearly one-mile wide tornado cut a path almost 22 miles in length, destroying over 7,000 homes and about 2,000 other structures. Among the buildings completely destroyed during the storm was Joplin High School. The rebuilding of the school is an important step for the community to heal and grow from the devastation. The intent of the design is to improve the quality of education by incorporating collaborative learning spaces, integrating technology and promoting environmental responsibility. Show less
On May 22, 2011, Joplin, Missouri was struck by a powerful EF-5 tornado. The nearly one-mile wide tornado cut a path almost 22 miles in length... Show moreOn May 22, 2011, Joplin, Missouri was struck by a powerful EF-5 tornado. The nearly one-mile wide tornado cut a path almost 22 miles in length, destroying over 7,000 homes and about 2,000 other structures. Among the buildings completely destroyed during the storm was Joplin High School. The rebuilding of the school is an important step for the community to heal and grow from the devastation. The intent of the design is to improve the quality of education by incorporating collaborative learning spaces, integrating technology and promoting environmental responsibility. Show less
Analyzing free-form natural language expressions “in the network”—that is, on programmable switches and smart NICs—would enable packet... Show moreAnalyzing free-form natural language expressions “in the network”—that is, on programmable switches and smart NICs—would enable packet-handling decisions that are based on the textual content of flows. This analysis would support richer, latency-critical data services that depend on language analysis—such as emergency response, misinformation classification, customer support, and query-answering applications. But packet forwarding and processing decisions usually rely on simple analyses based on table look-ups that are keyed on well-defined (and usually fixed size) header fields. P4 is the state of the art domain-specific language for programming network equipment, but, to the best of our knowledge, analyzing free-form text using P4 has not yet been investigated. Although there is an increasing variety of P4-programmable commodity network hardware available, using P4 presents considerable technical challenges for text analysis since the language lacks loops and fractional datatypes.
This paper presents the first Bayesian spam classifier written in P4 and evaluates it using a standard dataset. The paper contributes techniques for the tokenization, analysis, and classification of free-form text using P4, and investigates trade-offs between classification accuracy and resource usage. It shows how classification accuracy can be tuned between 69.1% and 90.4%, and how resource usage can be reduced to 6% by trading-off accuracy. It uses the spam filtering use-case to motivate the need for more research into in network text analysis to enable future “semantic analysis” applications in programmable networks. Show less
