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Generalization Error Analysis for FDR Controlled Classification
Found in: Statistical Signal Processing, IEEE/SP Workshop on
By Clayton Scott, Gowtham Bellala, Rebecca Willett
Issue Date:August 2007
pp. 792-796
The false discovery rate (FDR) and false nondiscovery rate (FNDR) have received considerable attention in the literature on multiple testing. These performance measures are also appropriate for classification, and in this work we develop generalization err...
 
Application-awareness in SDN
Found in: Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM (SIGCOMM '13)
By Gowtham Bellala, Guevara Noubir, Jeongkeun Lee, Manfred Arndt, Tao Jin, Zafar Ayyub Qazi
Issue Date:August 2013
pp. 487-488
We present a framework, Atlas, which incorporates application-awareness into Software-Defined Networking (SDN), which is currently capable of L2/3/4-based policy enforcement but agnostic to higher layers. Atlas enables fine-grained, accurate and scalable a...
     
A finite state machine-based characterization of building entities for monitoring and control
Found in: Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings (BuildSys '12)
By Amip Shah, Cullen Bash, Gowtham Bellala, Manish Marwah, Martin Arlitt
Issue Date:November 2012
pp. 153-160
Cyber physical systems such as buildings contain entities (devices, appliances, etc.) that consume a multitude of resources (power, water, etc.). Efficient operation of these entities is important for reducing operating costs and environmental footprint of...
     
Following the electrons: methods for power management in commercial buildings
Found in: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '12)
By Cullen Bash, Geoff Lyon, Gowtham Bellala, Manish Marwah, Martin Arlitt
Issue Date:August 2012
pp. 994-1002
Commercial buildings are significant consumers of electricity. The first step towards better energy management in commercial buildings is monitoring consumption. However, instrumenting every electrical panel in a large commercial building is expensive and ...
     
Towards an understanding of campus-scale power consumption
Found in: Proceedings of the Third ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings (BuildSys '11)
By Cullen E. Bash, Geoff Lyon, Gowtham Bellala, Manish Marwah, Martin Arlitt
Issue Date:November 2011
pp. 73-78
Commercial buildings are significant consumers of electricity. In this paper, we collect and analyze six weeks of data from 39 power meters in three buildings of a campus of a large company. We use an unsupervised anomaly detection technique based on a low...
     
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