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CS Senior Design Schedule Optimization

May 8 @ 1:00 pm - 2:30 pm

CS Senior Design Schedule Optimization


Sean Lynch


The LAS sponsored 2019 NC State Computer Science Senior Design team will present their research on cloud analytic schedule optimization. The team developed an algorithm which generates run schedules for cloud analytics which result in favorable time-varying resource demands on the system’s resources. Test results will be presented, and follow-on research directions will be discussed.

WEB/CONFERENCE CALL INFO: We are going to use the NC State WebEx for the web conference.Please note that this WebEx belongs to NC State and can not be downloaded directly from Cisco. Also, it should work on iPhones and iPads via the WebExApp. A good internet connection is recommended. For better audio, please join via computer and then have the meeting call your number or call in directly using one of the numbers below. When not speaking, please mute your phone to avoid background noise. When it’s time, join the WebEx meeting from here:


Access Information

Meeting Number:
999 938 982

Audio Connection


Access Code:
999 938 982


May 8
1:00 pm - 2:30 pm



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LAS aims to bring together a multi-disciplinary group of academic, industry, and government researchers, analysts and managers together to re-engineer the intelligence analysis process to promote predictive analysis. LAS will do this by conducting both classified and unclassified research in a variety of areas of research. The research done in this area will serve as the foundation for mission effects and integrated back into the enterprise.

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