- CLOUD 2021
Since 2018, I have been using various forms of machine learning to assist with the processing of incident tickets in IT management. Most recently, this has focused on tickets for cloud services, creating support services that assist the SREs responsible for keeping customer-facing services performing as designed.
Also since 2018, I have been part of the ROMEO project for reliable offshore wind energy. My role has focused on the design and construction of the cloud infrastructure to support data collection, storage, and distribution to processing modules.
From 2015 until 2018, I was using the PASIR predictive analytics system to support the security appliances used by IBM Managed Security Services. By correlating device configuration and performance metrics with trouble tickets, we can flag potentially troublesome devices before they fail.
From 2011 through 2015, I was working with with the Services Innovation Lab (SIL), developing ways to quickly discover and classify network appliances in the data center. My role in this project was to improve the tools and information available for data center relocation efforts, which need to do a fast assessment of the network configuration in the original location, and design a compatible configuration for the target environment.
From 2008 through 2011, I was developing ways to locate and track business applications that span multiple servers in the IBM environment.
Until 2008, I was working with the gathering of health data from wireless devices. Our project was known as Personal Care Connect
Related to PCC, I was co-chair of the Medical Devices Working Group at the Bluetooth SIG from 2006 through 2008, and was deeply involved in creating the Health Device Profile (HDP) and the Multi-Channel Adaptation Protocol (MCAP). Please send an e-mail or SameTime message if you have any questions about that.
Other previous work has involved things like DAB (Eureka-147), device discovery in wireless networks, programming for Symbian and MIDP, and Bluetooth (how it works, and via the JSR-082 Java interface). Just send me a note if you want to chat about them.
My thesis was defended in 2001, but it still may be interesting to people interested in device discovery in wireless networks. At the least, the introduction and related work will bring you up to the beginning of the millenium. You can find a copy here. It was completed under the supervision of Dr. Refik Molva at Eurécom. Although I was associated with Eurécom, I was formally enrolled at EPFL here in Switzerland.
Other things, like my masters thesis on using a ray-tracing-like algorithm for prediction of indoor radio signal propagation, and a related paper presented at the Vehicular Transactions Conference in 1997, may be of interest to some. My old homepage at Waterloo doesn't seem to work any more (I did leave in 1998) but, even if they don't have my page up any more, lots of good work in distributed systems and distributed debugging has been done by the Shoshin group at the University of Waterloo in Canada.
- ICSE-SEIP 2021
Leveraging AI in Service Automation Modeling: From Classical AI Through Deep Learning to Combination Models
- ICSOC 2019
- IM 2015
- 31 Oct 2022
- 25 Apr 2022
- 28 Feb 2022
- 28 Feb 2022
- 10 Jan 2022
- 27 Jan 2021
- 11 2013 001 446
- 16 Sep 2019
- 05 Aug 2019
- 08 Jul 2019
- 28 May 2018