Applying Statistical Learning, Optimization, and Control to Application Performance Management in the Cloud

Thursday, 16 October, 2014 - 09:00 to Saturday, 18 October, 2014 - 16:30

 

Intervenante:
Xiaoyun Zhu is a Staff Engineer in the VMware Cloud Resource Management Group, focusing on developing automated resource and performance management solutions for virtualized datacenters and applications. Her general interests are in applying optimization, algorithms, statistical learning and control theory to IT systems management and automation. Prior to VMware, she was a Senior Research Scientist at HP Labs for eight years. Techniques and algorithms she developed had been incorporated into HP’s management products including HP Global Workload Manager and HP Integrity Essentials Capacity Advisor. She has co-authored over 50 refereed papers in journals and conference proceedings with over 3000 citations, and holds 20 patents. She has been a program committee member for IM, NOMS, CNSM, CCGrid, Middleware, ICDCS, MASCOTS, and SIGMETRICS. She was the program co-chair for ICAC 2013 and is the general chair for ICAC 2014, co-located with the Usenix Federated Conference Week. Xiao!
yun received her dual B.S. in Automation and Applied Mathematics from Tsinghua University, and her Ph.D. in Electrical Engineering from California Institute of Technology.

17 octobre 2014 à 10h - salle Europe du LAAS CNRS