Prolego: Time-Series Analysis for Predicting Failures in Complex Systems (ACSOS 2023 - Main Track) - ACSOS 2023

Mon 25 - Fri 29 September 2023 Toronto, Canada

Who

Anwesha Das, Alex Aiken

Track

ACSOS 2023 Main Track

Time Zone

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When

Fri 29 Sep 2023 14:28 - 14:40 at Convention Centre (C2) - Session 5: Systems, Resilience, and Security

Anwesha Das

Alex Aiken

Stanford University

United States

Time Zone

The program is currently displayed in (GMT-04:00) Eastern Time (US & Canada).

Use conference time zone: (GMT-04:00) Eastern Time (US & Canada)Select other time zone

The GMT offsets shown reflect the offsets at the moment of the conference.

Time Band

By setting a time band, the program will dim events that are outside this time window. This is useful for (virtual) conferences with a continuous program (with repeated sessions).
The time band will also limit the events that are included in the personal iCalendar subscription service.

Display full programSpecify a time band

Session Program

Fri 29 Sep
Displayed time zone: Eastern Time (US & Canada) change

	14:00 - 15:00	Session 5: Systems, Resilience, and SecurityMain Track at Convention Centre (C2)

	14:00 8m Short-paper		Orchestrating the execution of Serverless Functions in Hybrid Cloud Main Track Aristotelis Peri , Michail Tsenos , Vana Kalogeraki Athens University of Economics and Business
	14:08 8m Short-paper		SaVE: Self-aware Vehicular Edge Computing with Efficient Resource Allocation Main Track Aamir Akbar Abdul Wali Khan University Mardan, Samir Belhaouarie
	14:16 12m Paper		Worst case impact assessment of multi-alarm stealth attacks against control systems with CUSUM-based anomaly detectionBest Paper Candidate Main Track Gabriele Gualandi Mälardalen University, Alessandro Vittorio Papadopoulos Mälardalen University
	14:28 12m Paper		Prolego: Time-Series Analysis for Predicting Failures in Complex Systems Main Track Anwesha Das , Alex Aiken Stanford University
	14:40 20m		Q&A and Panel Discussion Main Track