1. Carnegie Mellon School of Computer Science Forecasting with Cyber-physical Interactions in Data Centers Lei Li leili@cs.cmu.edu PDL Seminar 9/28/2011

2. Outline Overview of time series mining –Time series examples –What problems do we solve Motivation Experimental setup ThermoCast: the forecasting model Results Other time series models and algorithms 2(c) Lei Li 2012

3. What is co-evolving time series? 3 Correlated multidimensional time sequences with joint temporal dynamics (c) Lei Li 2012

4. Goal: generate natural human motion –Game ($57B) –Movie industry Challenge: –Missing values –“naturalness” 4 Motion Capture Right hand Left hand walking motion [Li et al 2008a] (c) Lei Li 2012

5. Environmental Monitoring Problem: early detection of leakage & pollution Challenge: noise & large data 5 Chlorine level in drinking water systems [Li et al 2009] (c) Lei Li 2012

6. Network Security Challenge: Anomaly detection in computer network & online activity 6 BGP # updates on backbone from http://datapository.net/ Webclick for news from NTT Webclick for TV (c) Lei Li 2012

7. Time Series Mining Problems Forecasting Imputation (missing values) Compression Segmentation, change/anomaly detection Clustering Similarity queries Scalable/Parallel/Distributed algorithms 7 See my thesis for algorithms covering these problems (c) Lei Li 2012

8. Outline Overview of time series mining –Time series examples –What problems do we solve Motivation Experimental setup ThermoCast: the forecasting model Results Other time series models and algorithms 8(c) Lei Li 2012

9. Datacenter Monitoring & Management Temperature in datacenter Goal: save energy in data centers –US alone, $7.4B power consumption (2011) Challenge: –Huge data (1TB per day) –Complex cyber physical systems 9(c) Lei Li 2012

10. Typical Data Center Energy Consumption LBL data center Google data center [Barroso 09] [LBNL/PUB-945] 10(c) Lei Li 2012

11. Towards Thermal Aware DC Management Data centers are often over provisioned, with ≈40% of energy spent for cooling (total=$7.4B) How can we improve energy efficiency in modern multi-MegaWatt data centers? 11 JHU data center with Genomote (c) Lei Li 2012

12. Air cycle in DC 12(c) Lei Li 2012