Protecting sensitive user data and proprietary programs are fundamental and important challenges. For instance, when users outsource their private data to the cloud, they risk leakage of the data in the event of a data breach; encrypting their data is not a workable solution since it impedes the cloud provider’s ability to offer user-specific services. When companies execute proprietary programs on third-party cloud providers, they similarly face the risk of leaking trade secrets.
We are at an exciting point in the evolution of memory technology. Device manufacturers have created a new non-volatile memory (NVM) technology that can serve as both system memory and storage. NVM supports fast reads and writes similar to volatile memory, but all writes to it are persistent like a solid-state disk. The advent of NVM invalidates decades of design decisions that are deeply embedded in today's database management systems (DBMSs).
Failures in medical devices, banking software, and transportation systems have led to both significant fiscal costs and even loss of life. Researchers have developed sophisticated methods to monitor and understand many of the complex system misbehaviors behind these bugs, but their computational costs (often an order of magnitude or more) prohibit their use in production, leading to an ecosystem of critical software with little guaranteed protection, and no method of reconciling misbehaviors.
News & Announcements
Sudeepa Roy: Making Sense of “Big Data” Databases
As numbers and facts continue to accumulate in today’s world of big data, a growing challenge is how to sift through the reams of data for relevant discoveries. Enter Sudeepa Roy, assistant professor of computer science. Roy is a database researcher who is creating new ways to help mine enormous data sets for meaning. More
Panigrahi Receives NSF CAREER Award
Debmalya Panigrahi has received a CAREER Award from the National Science Foundation for a project entitled "CAREER: New Directions in Graph Algorithms." Total funding will be $515,998 over 5 years. The award will support Panigrahi's research into fundamental problems in graph algorithms seeking generic solutions for core algorithmic challenges in modern networks: efficiency at scale, uncertainty and impreciseness of network requirements, and correlation effects. This is NSF's most prestigious award in support of junior faculty. More
Stephen-Martinez Joins Faculty
The Department welcomes Kristin Stephens-Martinez, who has joined CS as an Assistant Professor of the Practice of Computer Science