Sustainable operation and management of data center chillers using temporal data mining

Motivation: Data centers are a critical component of modern IT infrastructure but are also among the worst environmental offenders through their increasing energy usage and the resulting large carbon footprints. Efficient management of data centers, including power management, networking, and cooling infrastructure, is hence crucial to sustainability. In the absence of a "first-principles" approach to manage these complex components and their interactions, datadriven approaches have become attractive and tenable. Results: We present a temporal data mining solution to model and optimize performance of data center chillers, a key component of the cooling infrastructure. It helps bridge raw, numeric, time-series information from sensor streams toward higher level characterizations of chiller behavior, suitable for a data center engineer. To aid in this transduction, temporal data streams are first encoded into a symbolic representation, next run-length encoded segments are mine...

• Type: Conference
• Year: 2009
• Where: KDD
• Authors: Debprakash Patnaik, Manish Marwah, Ratnesh K. Sharma, Naren Ramakrishnan
• Keywords: Data Center Engineer, Data Mining, KDD 2009, Temporal Data Mining, Temporal Data Streams