Title: Programmable Data Plane: Concept, Applications, and Challenges
Speaker: Prof. Sangheon Pack (Korea University, Korea)

ABSTRACT
Programmable data planes open new opportunities for flexible network management and re-architecturing. In this talk, I first review hardware and software platforms that allow programming of network data planes. After that, I will explain the cutting-edge technology for programming data planes, Protocol-independent Programming Packet Process (P4). The overview and step-by-step development procedures of P4 will be detailed with some basic examples. Interesting applications of P4 (e.g., in-band network telemetry (INT), load balancing, network cache, data analytics) will be introduced. At last, open challenges in P4 to achieve autonomous network management and multi-service networking/network virtualization.

BIO
Sangheon Pack received the B.S. and Ph.D. degrees from Seoul National University, Seoul, Korea, in 2000 and 2005, respectively, both in computer engineering. In 2007, he joined the faculty of Korea University, Seoul, Korea, where he is currently a Professor in the School of Electrical Engineering. He was the recipient of IEEE/IEIE Joint Award for IT Young Engineers Award 2017, Korea University TechnoComplex (KUTC) Crimson Professor 2015, Korean Institute of Communications and Information Sciences (KICS) Haedong Young Scholar Award 2013, LG Yonam Foundation Overseas Research Professor Program in 2012, and IEEE ComSoc APB Outstanding Young Researcher Award in 2009. He served as a local arrangement chair of ACM CoNEXT 2017, a TPC chair of EAI Qshine 2016, a publication co-chair of IEEE INFOCOM 2014 and ACM MobiHoc 2015, a co-chair of IEEE VTC 2010-Fall transportation track, a TPC vice-chair of ICOIN 2013/2018, and a publicity co-chair of IEEE SECON 2012. He is an editor of Journal of Communications Networks (JCN) and IET Communications, and he is a guest editor of IEEE Transactions on Emerging Topics in Computing (TETC). He is a senior member of the IEEE. His research interests include Future Internet, softwarized networking (SDN/NFV), information-centric networking (ICN)/delay tolerant networking (DTN), mobility management, mobile cloud networking/edge computing, multimedia networking, and vehicular networks.

Title: Software Defined Internet of Things
Speaker: Prof. Giacomo Morabito (University of Catania, Italy)

ABSTRACT
Software Defined Networking (SDN) is radically changing the way in which networks are managed, designed and even thought.
In this tutorial we will focus on the application of the SDN approach to the Internet of Things (IoT) which is attracting increasing the interest of the scientific community.
SDN solutions for traditional networks cannot be applied to the IoT for several reasons. The most important are related to:

• the number of nodes that in the IoT is expected to be several orders of magnitude higher than in traditional networks
• the need to integrate wireless sensor nodes that have strict limitations in terms of energy, communication, and processing capabilities
• the pervasivity of IoT nodes that can sense our physical space and act on it so posing unprecedented security and privacy issues.

In this tutorial we will discuss the major research contributions in this domain and will identify the most challenging open research issues.

BIO
Giacomo Morabito was born in Messina, Sicily (Italy) on March 16, 1972. He received the laurea degree in Electrical Engineering and the PhD inElectrical, Computer and Telecommunications Engineering from the Istituto di Informatica e Telecomunicazioni, University of Catania , Catania (Italy), in 1996 and 2000, respectively. From November 1999 to April 2001, he was with the Broadband and Wireless Networking Laboratory of the Georgia Institute of Technology as a Research Engineer. Since April 2001 he is with the Dipartimento di Ingegneria Informatica e delle Telecomunicazioni of the University of Catania where he is currently Associate Professor. Giacomo Morabito has served is the organizing committee of several conferences such as ACM NanoCom 2016, ACM ICN, and IFIP Med-Hoc-Net.
His research interests focus on analysis and solutions for the Internet of Things.