Data Center Resource Management

Design using open source memcached software that has been adopted by Facebook and Twitter to adapt to user demand. Improve the internal structure, theory, and algorithm of memory cache to make it more efficient. Data-centric computing consumes enormous resources. Our research group develops new, effective models using machine learning, queuing theory, and statistical approaches for locality modeling. We also use virtualization and other computing technologies to design and implement effective resource management for data centers.

"Modeling data center resources including CPU, memory, and storage systems, with a focus on new technologies, is key for effective resource management."Zhenlin Wang, professor of computer science

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