LTS - Computation and Storage Systems for the Edge by Alexandre da Silva Veith, Nokia Labs

The proliferation of the Internet of Things (IoT) has guided a large amount of produced data, new needs for real-time analytics, and the rapid increase of distributed heterogeneous computing resources. In emerging scenarios, such as Smart Cities and Industry 4.0, files, videos, and pictures are emitted 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. Although edge computing brings benefits, it comes at a high monetary cost as edge servers are more expensive than cloud ones in public infrastructures. Hence, an efficient system adjusts the running service dynamically or provides tools to react according to the service workload and user needs -- avoiding over-provisioning. In this talk, I will describe recent research on computational systems and distributed storage designed to simplify the deployment of novel applications on a hierarchy of data centers that span from the edge of the network to the wide-area cloud.

Biography:

Alexandre da Silva Veith is a Research Software Engineer at Nokia Bell Labs, Belgium. Previously, he was a postdoctoral researcher at the University of Toronto, Canada. He holds a Ph.D. in Computer Science from the Ecole Normale Superieure (ENS) of Lyon and the University of Lyon, France. His wide-ranging areas of interest include distributed systems, machine learning, reinforcement learning, federated learning, data stream processing systems, optimization problems, fog/edge computing, big data analytics, and complex issues emerging from the Internet of Things. His research on edge computing systems has been widely published in prestigious journals and conferences in the areas of networking and distributed systems including but not limited to: the Journal of Network and Computer Applications, as one of their most cited papers, IEEE Transactions on Cloud Computing, as well as the International Conference on Service-Oriented Computing, the International Conference on Parallel Processing and IEEE/ACM International Symposium in Cluster, Cloud, and Grid Computing.