Real-time and Embedded Systems Lab

Faculty Name
Dae Young Kim
Research Area
Intelligent·Information Service
#902, N1

Introduction to Real-time and Embedded Systems Laboratory
RESL at KAIST focuses on Internet of Things as a member of Auto-ID Labs. We are carrying out the following research projects; Oliot (GS1 based IoT Infrastructure Platform), SNAIL (6LoWPAN based IoT Connectivity Platform), SeaHaven (Visual Sensor Network Cloud Platform), etc.

SNAIL: 6LoWPAN based IoT Connectivity
SNAIL (Sensor Network for an All-IP World) is a tiny IPv6-based sensor networking platform including a complete architecture of a lightweight TCP/IP stack supporting IPv6 adaptation, ad-hoc routing, header compression, and bootstrapping as well as four important technologies, mobility, web enablement, time synchronization, and security.

Oliot: IoT Infrastructure Platform
Oliot is aiming an international standard based Internet of Things (IoT) Infrastructure Platform, by extending the code system of GS1 and their standard architecture to support various IoT connectivity and protocols such as bar code, RFID, ZigBee, 6LoWPAN, etc. Oliot also aims a complete implementation of GS1/EPCglobal standard.

SeaHaven: Visual Sensor Network Cloud Platform
SeaHaven is a portable and secure multi-tenant visual sensor networks cloud platform which covers visual sensor node operating systems, visual sensor streaming service, visual bigdata processing service, and user applications. The major goal of this project is to make the machine understand the context of the scene by leveraging visual sensors all over the world which are very beyond human’ visual sensory.

GPGPU HPC Cloud is about using Cloud computing for HPC with general purpose graphical processing unit (GPGPU). Using GPGPU on Cloud will reduce cost and power usage than Cloud with only CPUs. We implemented GPGPU HPC Cloud platform with OpenStack, KVM, and API forwarding technique.