Towards Geo-Distributed Machine Learning

no code implementations • 30 Mar 2016 • Ignacio Cano, Markus Weimer, Dhruv Mahajan, Carlo Curino, Giovanni Matteo Fumarola

Current solutions to learning from geo-distributed data sources revolve around the idea of first centralizing the data in one data center, and then training locally.

BIG-bench Machine Learning

ADARES: Adaptive Resource Management for Virtual Machines

no code implementations • 5 Dec 2018 • Ignacio Cano, Lequn Chen, Pedro Fonseca, Tianqi Chen, Chern Cheah, Karan Gupta, Ramesh Chandra, Arvind Krishnamurthy

Our large-scale analysis confirms that VMs are often misconfigured, either overprovisioned or underprovisioned, and that this problem is pervasive across a wide range of private clusters.

Management Multi-Armed Bandits +1