Dr. Jian Li

POSTECH, Korea

In this tutorial, we will cover in-depth technical details of Open Network Operating System (ONOS). ONOS is an open source distributed SDN controller project, started in 2013 at Open Networking Laboratory (ON.LAB), open sourced in 2014, and hosted by Linux Foundation. The objective of this project is to deliver a network OS to fulfill service providers' stringent requirements. ONOS aims to provide scalability, high availability, high performance and abstracted APIs to allow ONOS application developer easily develop their application and service that control the traffic in the network. Today the platform is based on a solid architecture written in Java, and has quickly matured to be feature rich and production ready. This talk will have a technical focus discussing the different aspects of the ONOS architecture, network state distribution, northbound APIs, southbound protocols integration, performances, multiple use-cases and applications. A live demo will also be shown during the talk.

Prof. Susumu Ishihara

Shizuoka University, Japan

In this tutorial, design and management technology of a mobile sensor network for underground pipes, sewer systems, is introduced. Old sewer pipes have to be examined for maintenance. The cost of sewer survey is, however, very high and bring pressures on local governments. A sewer survey system we have been developing uses multiple small sensor/camera nodes like baseballs to sense the pipe condition and record video of the pipe wall and transmit the data to a server via wireless communication.
What the workers need to do with this system is just to open some manholes to attach access points on the manholes and put sensor/camera nodes into the pipe.  The range of wireless radio communication in small pipes is very limited, and it makes difficult to deliver sensor/camera data to access points. This tutorial introduces our work on designing camera/sensor nodes and experiments of radio communication in small underground sewer pipes and discusses the management of such a sensor network system.

Prof. Min-Te Sun

National Central University, Taoyuan, Taiwan

Radio Frequency IDentificaiton (RFID) technologies enable a tremendous amount of applications, such as supply chain management, electric transportation payment, and warehouse operations. In these applications, the administrator manages and monitors a large number of objects by reading passive RF tags attached to the objects with an RF reader. Objects and their owners are automatically identified by an attached RF tag, which causes the security and privacy threat to individuals and organizations. Thus, security and privacy protection are the primary concern when RFID applications are deployed in our daily lives. In this tutorial, we investigate a number of security and privacy issues in large-scale RFID systems, and discuss possible solutions to each of these issues.

Prof. JongWon Kim

GIST, Korea

Recently we are in the middle of fundamental changes toward software-defined infrastructure (SDI), which gradually transform the silo-based legacy infrastructure into composable one by integrating IoT-based smart things, SDN/NFV-assisted inter-connected edges, and data-rich Cloud core. This user-driven SDI transformation is being supported by diverse open-source software/hardware projects from Linux Foundation, OpenStack Foundation, Open Compute Project (OCP), and others. Thus, in this talk, aligned with this on-going transformation, the prototyping experience of containerized IoT-Cloud services is discussed by showcasing API-driven service function chaining over SmartX playgrounds (i.e., testbeds). That is, by focusing on the futuristic abstraction of “Inter-connected container-based functions over distributed pools of box-style resources”, IoT-Cloud service prototyping is explained over hyper-converged (i.e., computing/networking/storage combined) and accelerated SmartX Boxes. Also, by leveraging DevOps-based automation with provisioning/visibility/orchestration/intelligence capabilities, the sustained/secured operation for targeted IoT-Cloud services is discussed by taking example service scenarios.