Please note: This seminar will be given online.
Eyal de Lara, Department of Computer Science
University of Toronto
The advent of the Internet of Things (IoT) has led to a large amount of generated data, new requirements for real-time processing, and the proliferation of distributed heterogeneous computing resources. In emerging scenarios, such as Smart Cities and Industry 4.0, files, videos, and pictures are produced by sensors on the edges of the Internet. Transporting this data over Internet links to cloud data centers for processing and storage places several bandwidth requirements on the network and is not compatible with applications that require low latency.
Edge computing has emerged as an alternative approach that leverages small regional data centers, from a few computers to a few racks, at the Internet edges to carry out processing tasks and store data. This proximity to the location of data generation enables new systems that provide low latency and reduce network load.
In this talk, I will describe recent research on distributed storage systems designed to simplify the deployment of novel applications on a hierarchy of data centers that span from the edge of the network for the wide-area cloud.
Bio: Eyal de Lara is a Professor in the Department of Computer Science at the University of Toronto. His focus is on experimental research on mobile and pervasive computing systems. Prof. de Lara served as editor in chief of ACM GetMobile, the flagship publication of ACM SigMobile, from 2014 to 2018. His research has been recognized with the 2019 EuroSys Test of Time Award, an IBM Faculty Award, an NSERC Discovery Accelerator Award, the 2012 CACS/AIC Outstanding Young Computer Science Researcher Prize, and two best paper awards.
To join this seminar on Zoom, please go to https://uwaterloo.zoom.us/j/99449197983?pwd=NDFCbHV3dWZ3T1U5eXZXTTdhTU9qZz09.
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