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C3.ai DTI Sept. 30. Seminar Graphic with Ishai Menache

C3.ai DTI Fall Colloquium: Challenges and Opportunities in Cloud Operations Research

Event Type
Seminar/Symposium
Sponsor
C3.ai Digital Transformation Institute
Virtual
wifi event
Date
Sep 30, 2021   3:00 - 4:00 pm  
Speaker
Ishai Menache
Registration
Free to attend. Registration required.
Views
24
Originating Calendar
NCSA-related events

Ishai Menache, Senior Principal Research Manager, Microsoft Research

Cloud computing is a multi-billion-dollar business that has revolutionized the way computing resources are consumed. The emergence of cloud computing is attributed to lowering the risks for end-users (e.g., scaling-out resource usage based on demand), while allowing providers to reduce their costs by managing compute resources at scale. In this talk, we will provide an overview of some of the challenges faced by providers at different dimensions of cloud operations. In particular, we will highlight the role of Operations Research and algorithms in increasing efficiency and return on investment of cloud infrastructure. As a concrete example, we zoom in on the Virtual Machine (VM) allocation problem, one of the fundamental problems in the area. VMs need to be assigned to physical machines in a way that reduces fragmentation and efficiently utilizes the available machines. Motivated by advances in Machine Learning that provide good estimates of workload characteristics, we consider the effect of having extra information in the form of VM lifetimes and future demand. We show that even basic information about demand (e.g., its average) leads to algorithms with significantly better guarantees.

Ishai Menache received his PhD in Electrical Engineering from the Technion, Israel Institute of Technology. He was a Postdoctoral Associate at the Laboratory for Information and Decision Systems (LIDS) at MIT. Ishai has been with Microsoft Research since 2011, where he is the founder and manager of the Cloud Operations Research (CORE) group. His research focuses on developing large-scale optimization frameworks for cloud systems and applications. More broadly, his areas of interest include systems and networking, optimization, and machine learning.

 

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