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    Making Data Retrieval More Efficient

    When a user performs a search in social media, the request doesn’t stay within that platform. It calls upon the resources of a data center. “When someone sends a request to a data center, they want an immediate answer—they don’t want to wait,” Zhenlin Wang explains. We designed upon open-source software and memcached that was…


    Transfer Learning in Data Centers

    Faster apps. More memory. Laura Brown and Zhenlin Wang bring efficiency to Big Data. What memory resources will be available if applications A, B, and C all run together? Big companies like Amazon and Google have even bigger data centers. Think 30 data centers each with 50,000 to 80,000 servers. And the underlying computer processors…


    Three Faculty Receive External Funding

    Dear All, Please join me in congratulating Zhenlin, Tim, and Philart on receiving external research funding during the summer! Zhenlin received an NSF research award with a total budget of $375,000. This is a 3-year project with a title of “CSR:Small: Effective Sampling-Based Miss Ratio Curves: Theory and Practice”. In this project, Zhenlin and his…


    Recent Grants

    Philart Jeon: PI, National Health Institute. “NRI: Colloborative: Interactive Robotic Orchestration – Music-based emotion and social interaction therapy for children with ASD,” 2014-2017. Philart Jeon: Co-PI, US DOT-OST, National University Rail Center Project. “NURail-Tier I,” 2014-2017 Robert Pastel & Charles Wallace: CI-Team, National Science Foundation.”Environmental CyberCitizens: Engaging Citizen Scientists in Global Environmental Change through Crowdsensing…