2020 Schedule:

• 8/19, Informative Path Planning for Mobile Sensing with Reinforcement Learning [paper1], [paper2]


• 8/12, DeepMigration: Flow Migration for NFV with Graph-based Deep Reinforcement Learning, [paper], [no migration]


• 8/5, Payman Khani, Cloud Service Reliability Enhancement via Virtual Machine Placement Optimization, [slides] and [paper]


• 7/22, Chris Gonzalez, A two stage heuristic algorithm for solving the server consolidationproblem with item-item and bin-item incompatibility constraints, [slides], [paper].


• 7/15, Shanglin and Yuning, ILP for Data Priority, [slides], [paper].


• 7/1, Chris Manriquez, Adaptive VNF Scaling and Flow Routing with Proactive Demand Prediction, [slides], [paper].


• 7/1, Chris Gonzalez, FT-VMP: Fault-Tolerant Virtual Machine Placement in Cloud Data Centers, [slides], [paper].


• 6/24, Ivan Khaffaji, Predictive Analysis in Network Function Virtualization, [slides], [paper].


• 6/24, Vincent Tran, PAM \& PAL: Policy-Aware Virtual Machine Migration and Placement in Dynamic Cloud Data Centers, [slides], [paper].


• 6/17, Phillip Aguilera, Machine Learning against Adversarial Samples, [slides], [paper]. [Group Notes].


• 6/3, Payman Khani, Multi-Objective Optimization and Pareto Optimal, [slides].


• 6/3, Shanglin Hsu and Yuning Yu, Quadratic Programming and CPLEX, [slides], [summary], [paper submitted].


• 3/4, Payman Khani, Multi-Objective Optimization for Virtual Machine Allocation and Replica Placement in Virtualized Hadoop, [pdf] and [slides].


• 2/5, Jennifer Ly, Machine learning-driven Scaling and Placement of Virtual Network Functions at the Network Edges, [pdf] and [slides].