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Reproducing Network Research
Project Name: CS 244: Replicating “ONCache: A Cache-Based Low-Overhead Container Overlay Network” Team Members: Dr. Phil: Sebastian Ingino (ingino[at]stanford[dot]edu), Andrew (Drew) Woen (amwoen[at]stanford[dot]edu), Vidur Gupta (vidur[at]stanford[dot]edu), Max Cura (mcura[at]stanford[dot]edu) Original […]
Python 3 Module of the Week¶ PyMOTW-3 is a series of articles written by Doug Hellmann to demonstrate how to use the modules of the Python 3 standard library. It is based on the original PyMOTW series, which covered Python 2.7. See About Python Module of the Week for details including the version of Python and tools used.
This index provides access to an online publication library of several of my more recent papers -- as well as a few oldies but goodies. In a few cases, I also include the overhead transparencies for talks. Most of the papers and talks deal with the design and analysis of algorithms and data structures. They are grouped, roughly in chronological order, according to the specific topic areas listed b
Streaming Data Mining Tutorial slides (and more)
Jelani Nelson.and Edo Liberty just released an important tutorial they gave at KDD 12 on the state of the art and practical algorithms used in mining streaming data, it is entitled: Streaming Data Mining I personally marvel at the development of these deep algorithms which, because of the large data streams constraints, get to redefine what it means to do seemingly simple functions such as count
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Welcome to the web presence of the Database Research Group at University of Tübingen. Our group pursues a variety of “all-time classic” database research questions—prime examples include query language design, translation, and optimization—but with a few twists: We are particularly interested in the design, compilation, and optimization of expressive database languages that support rich data model
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Welcome to the 2025 Common Weakness Enumeration (CWE™) Top 25 Most Dangerous Software Weaknesses list (CWE™ Top 25). This list demonstrates the currently most common and impactful software weaknesses. Often easy to find and exploit, these can lead to exploitable vulnerabilities that allow adversaries to completely take over a system, steal data, or prevent applications from working. The CWE Top 25
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