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TZOFFSETFROM:+0530
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DTSTART:20260101T000000
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DTSTART;TZID=Asia/Kolkata:20260212T120000
DTEND;TZID=Asia/Kolkata:20260212T130000
DTSTAMP:20261010T144639
CREATED:20260204T131611Z
LAST-MODIFIED:20260204T131643Z
UID:2416-1770897600-1770901200@homecse.iitd.ac.in
SUMMARY:Abstractions for expressive\, extensible\, and scalable root cause analysis by Vipul Harsh
DESCRIPTION:Venue: Bharti501 \nAbstract: Modern Internet-scale services must identify and mitigate customer-impacting incidents quickly. Despite the development of many Root Cause Analysis (RCA) algorithms—including recent LLM-assisted solutions—existing approaches struggle with the “long tail” of novel failure modes and the sheer scale of telemetry. In this talk\, I argue that the path forward requires a paradigm shift from developing point-solution algorithms to a systems-first approach. I will introduce MoCE: a Mixture-of-Experts (MoE) framework that provides high-level abstractions for failure diagnosis. This framework enables developers to express complex troubleshooting logic succinctly using MoCE’s domain specific operators while providing the underlying systems support for scalable telemetry processing. Finally\, I will briefly describe how these abstractions empower reliable\, autonomous agents to perform interactive diagnosis and discuss ongoing and promising future work based on these ideas. \nBio: Vipul Harsh is a postdoctoral researcher at Conviva with Vyas Sekar and Hui Zhang and a visiting researcher at Carnegie Mellon University (CMU). His research lies at the intersection of networked systems\, AI\, and theory. His works span design of reliable agents for interactive troubleshooting\, systems for failure diagnosis in networked systems\, datacenter topology\, distributed monitoring\, and parallel algorithms. His research has been published in top-tier CS conferences (SIGCOMM\, NSDI\, SPAA among others) and his projects have been adopted into real-world products. He completed his Ph.D. from UIUC where he worked with Brighten Godfrey and holds an undergraduate degree from IIT Bombay. His thesis was nominated by UIUC for the ACM SIGCOMM dissertation award.
URL:https://homecse.iitd.ac.in/event/2416/
LOCATION:Bharti 501\, IIT Campus\, Hauz Khas\, New Delhi
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