Eve M. Schooler

  • E-mail: eve.m.schooler [A T] intel dot com
  • S-mail: 2200 Mission College Blvd, RNB6-61, Santa Clara, CA, 95054
  • Phone:+1 (408) 765-1591
  • Fax: +1 (408) 653-8328

 

Eve Schooler joined Intel in 2005. She is a Principal Engineer in Intel Research. For the past few years, she has led the Distributed Detection and Inference (DDI) project, an effort that focuses on collaborative anomaly detection in large-scale networks and that, more broadly, promotes the adoption of an end-host correlation framework that leverages the idea of measurement everywhere. With the last year devoted to a DDI trial deployment with British Telecom to explore an extensible end-to-end managed security service, the work is in a transitional phase, particularly around the development of a measurement-based reputation service for devices living in unmanaged or self-managed networks, APIs for re-useable plug-and-plug sensors, and how to tie in to Internet-scale validation infrastructures (Uber-monitoring). More recently, she has been involved in scoping several new research threads: on Emergent Collaborative Systems and Collaborative Power Management for the digital home and SmartGrid.

 

Eve obtained a BS from Yale University, an MS from UCLA and a PhD from Caltech, all in Computer Science. Her broad interests lie at the intersection of distributed systems, networking, and scalable group algorithm design. Interested in protocol standards, Eve served on the Transport Directorate of the IETF, co-founded and co-chaired the IETF MMUSIC working group for many years, and is a co-author of the SIP protocol that is widely used for Internet telephony. In addition, she enjoys finding excuses to combine technology with the Arts; she was involved in one of, if not the first Internet-wide distributed music performances (to showcase synchronization algorithms), has “rendered” music for a classic SIGGRAPH animation (while demonstrating infrastructure for early grid computing), and composed for the BodySynth (a wearable, sensor-based instrument).

 

Prior to Intel, she held positions at Apollo Computer, Information Sciences Institute, AT&T Labs-Research, and Pollere LLC.

 

Research Interests

  • Collaborative anomaly detection: gossip protocols, distributed inference, a re-usable correlation framework, plug-and-play sensors.
  • Feedback aggregation for network monitoring and sensing: uber-monitoring at Internet scales, “personalized” data migration for trusted client clouds.
  • Scalable group communication: directory services, user location, reliable bulk data transfer, telepresentation architectures.
  • Distributed control: cross-system power management, multiparty multimedia sessions, internet telephony.
  • Soft-state protocols: self-manageability, announce-listen, auto-configuring, self-healing algorithms.
  • Peer-to-peer and overlay architectures: content-centric networking, pub/sub, ant-based algorithms, semantic web.
  • Performance analysis and simulation
  • Traffic and behavioral monitoring
  • All things multicast

Curriculum Vitae (pdf) (last updated April 2009)