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BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Penn Engineering Events - ECPv6.18.0//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Penn Engineering Events X-ORIGINAL-URL:https://seasevents.nmsdev7.com X-WR-CALDESC:Events for Penn Engineering Events REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20180311T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20181104T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20190310T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20191103T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20200308T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20201101T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/New_York:20191126T110000 DTEND;TZID=America/New_York:20191126T120000 DTSTAMP:20191014T134823Z CREATED:20191014T134823Z LAST-MODIFIED:20191014T134823Z UID:2123-1574766000-1574769600@seasevents.nmsdev7.com SUMMARY:ESE Seminar: "Management Strategies for Hyperscale Datacenters" DESCRIPTION:Abstract: Hyperscale datacenters provide critical infrastructure for the information economy\, refining data to extract value. Sharing datacenters improves energy efficiency but whether strategic users participate depends on management policies. I address these challenges by integrating practical insights from computer architecture with rigorous methods in algorithmic economics and machine learning. I illustrate this approach for power allocation and performance diagnosis. First\, I allocate server power by anticipating strategic behavior and incentivizing participation. I design mechanisms in which users selfishly draw power to boost performance yet avoid oversubscribing the shared supply. Second\, I diagnose performance anomalies by inferring interpretable causal relationships. I design statistical frameworks that learn performance models and extract recurring semantic structure from these models with natural language processing. Finally\, I conclude by describing future directions for efficient and secure architectures in datacenters and beyond. URL:https://seasevents.nmsdev7.com/event/ese-seminar-benjamin-lee/ LOCATION:PICS Conference Room 534 – A Wing \, 5th Floor\, 3401 Walnut Street\, Philadelphia\, PA\, 19104\, United States ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu END:VEVENT END:VCALENDAR