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Communications and Signal Processing Seminar

Setup Times in Multiserver Systems

Jalani WilliamsPhD Student, Electrical Engineering & Computer ScienceCarnegie Mellon University
WHERE:
2311 EECSMap
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Abstract: Capacity management, whether it involves servers in a data center, human staff in a call center, or doctors in a hospital, is largely about balancing a resource-delay tradeoff. On the one hand, one would like to turn off servers when not in use (or send home staff that are idle) to save on resources. On the other hand, one wants to avoid the considerable setup time required to turn an off server back on. In this talk, we describe recent work focused on understanding the delay component of this tradeoff. In particular, we discuss new, tight bounds on the average delay in the M/M/k with Deterministic setup times.

Bio: Jalani is currently a 6th year Ph.D. student in the Computer Science Department at Carnegie Mellon University, where he is advised by Prof. Weina Wang. Before coming to CMU, he earned his B. Eng. in Mechanical Engineering at the California Institute of Technology. He is a recipient of the Gates Millennium Scholarship and the GEM Fellowship. Currently, Jalani’s work is focused on investigating how the energy-saving methods being used in today’s datacenters affect the fundamental characteristics of their latency performance. More broadly, Jalani is interested in the areas of applied probability, queueing theory, and decision-making under uncertainty.

***Event will take place in a hybrid format. The location for in-person attendance will be room 2311 EECS.   Attendance will also be available via Zoom.

Join Zoom Meeting:  https://umich.zoom.us/j/91414297851

Meeting ID: 914 1429 7851

Passcode: XXXXXX (Will be sent via e-mail to attendees)

Zoom Passcode information is also available upon request to Sher Nickrand([email protected]) or Michele Feldkamp ([email protected]).

Faculty Host

Lei YingProfessor, Electrical Engineering and Computer ScienceUniversity of Michigan, Electrical and Computer Engineering