Luiz F. Bittencourt

Universidade de Campinas UNICAMP

Conference theme:

Resource Allocation in the Computing Continuum

Abstract:

As the cloud extends to the fog and to the edge, computing services can be scattered over a set of computing resources that encompass users’ devices, the cloud, and intermediate computing infrastructure deployed in between. Moreover, increasing networking capacity promises lower delays in data transfers, enabling a continuum of computing capacity that can be used to process large amounts of data with reduced response times. Such large amounts of data are frequently processed through machine learning approaches, seeking to extract knowledge from raw data generated and consumed by a widely heterogeneous set of applications. Distributed machine learning has been evolving as a tool to run learning tasks also at the edge, often immediately after the data is produced, instead of transferring data to the centralized cloud for later aggregation and processing. We look forward to building an Intelligent Computing Continuum, where distributed machine learning models can seamlessly run on any device from the edge to the cloud, creating a distributed computing system that is able to fulfill highly heterogeneous applications requirements and build knowledge from data generated by these applications. In this talk, I will present an overview of the resource allocation in the Computing Continuum.

Speaker biography:

Luiz Bittencourt is an Associate Professor at the University of Campinas (UNICAMP), Brazil. He was a visiting researcher at the University of Manchester, Cardiff University, UK, and Rutgers University, USA. Luiz was awarded with the IEEE Communications Society Latin America Young Professional Award in 2013. He acts on the organization of several conferences in the cloud computing and edge computing subjects, and in several technical program committees. He also serves as associate editor for the IEEE Cloud Computing Magazine, for the Computers and Electrical Engineering journal, for the Internet of Things Journal, for the Journal of Network and Systems Management, and for the IEEE Networking Letters. His main interests are in the areas of resource management and scheduling in cloud, edge, and fog computing.