Simplified Cloud Control Using Dimension Reduction

Jianguo Yao, Shanghai Jiao Tong University


Presentation slides

Automated management of complex information technology applications such as cloud systems requires dynamic configuration of both application-level and system-level parameters. The existence of large number of tunable parameters makes it difficult to design a feedback controller that adjusts these parameters effectively in order to achieve the application-level performance targets. In this talk, we will summarize our recent work which introduces a new approach for simplified control architecture of large-scale complex systems based on dimension reduction techniques. It combines the online selection of critical control knobs through LASSO -- a powerful L1 -constrained fitting method, and Compressive Sensing (CS)-- a L1-optimization method, and the design of adaptive control of the identified knobs. We use evaluation results to demonstrate the effectiveness of this new approach.