Important Dates

July 5, 2018 (Firm Deadline)

Late-Breaking Innovation Paper Submission Due

April 8, 2018 (Closed)

Workshop Proposal Due

June 20, 2018 (Closed)

Special Session Proposal Due

May 15, 2018 (Closed)

Paper Submission Deadline

June 20, 2018 (Closed)

Industry Session Paper Submission Deadline

June 20, 2018 (Closed)

WiP Paper Submission Due

June 20, 2018 (Closed)

Poster/Demo Submission Due

June 25, 2018

Authors Notification (for all papers submitted before May 30, 2018)

July 8, 2018

Authors Notification (for all papers submitted after May 30, 2018)

August 8, 2018

Camera-ready & Registration




Sponsors

Keynote Speeches


You are Welcome to Attend Keynote Speeches Specific to IEEE CBDCom 2018 as in Part I.


You are also Welcome to Attend all Keynote Speeches Shared by Co-Located IEEE Smart World Congress 2018 & IEEE UIC 2018 & IEEE ATC 2018 & IEEE ScalCom 2018 & IEEE IoP 2018 & IEEE SCI 2018 Conferences as in Part II.


Part I.

Keynote Speaker 1: Prof. Song Guo, The Hong Kong Polytechnic University
Title: Machine Intelligence in Geo-Distributed Systems: From Cloud to Edge


Detailed Information about Keynote Speeches


Title: Machine Intelligence in Geo-Distributed Systems: From Cloud to Edge

Keynote Speaker 1: Prof. Song Guo

The Hong Kong Polytechnic University







Abstract
. When accessing cloud-hosted modern applications, users often suffer a significant latency due to the long geo-distance to the central cloud. Edge computing thus emerges as an alternative paradigm that can reduce this latency by deploying services close to users. In this talk, we will analyze the methodology and limitations of popular approaches for supporting AI services on geo-distributed systems along the evolution from cloud computing to edge computing. In particular, we shall discuss how to deal with different sets of challenges in training and inference, the two phases of machine learning based applications, over heterogeneous geo-distributed systems. We shall also present our recent studies on data driven resource management among networked collaborative edges.

Biography. Song Guo is a Full Professor at Department of Computing, The Hong Kong Polytechnic University. His research interests are mainly in the areas of big data, cloud computing and networking, and distributed systems. His work was recognized by the 2016 Annual Best of Computing in ACM Computing Reviews. He is the recipient of the 2017 IEEE Systems Journal Annual Best Paper Award and other five Best Paper Awards from IEEE/ACM conferences. Prof. Guo was an Associate Editor of IEEE TPDS and an IEEE ComSoc Distinguished Lecturer. He is now on the editorial board of IEEE TCC, IEEE TETC, IEEE TSUSC, IEEE TGCN, IEEE Network, etc. Prof. Guo also served as General and TPC Chair for numerous IEEE conferences. He currently serves as a Director and Member of the Board of Governors of ComSoc.



Part II.

More keynote speeches will be available soon.



Organizers:

  


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