한승재 교수
Seung-Jae Han
연세대학교 컴퓨터과학과 · 컴퓨터과학
연구실 소개
한승재 교수의 연구실은 실시간 통신 환경에서 고신뢰성과 고성능을 동시에 확보하기 위한 기반 기술을 연구하고 있습니다. 주요 연구 방향은 다중 홉 네트워크에서 장애 발생 시 빠르고 보장된 복구가 가능한 실시간 채널 복구 기법과, 사전에 비상 경로를 확보하는 자원 예약 기반의 고도화된 통신 서비스 아키텍처입니다. 또한, LTE 기반 위치 추정 기술을 활용한 실내 정밀 위치 기반 서비스 개발도 함께 진행하고 있습니다. 이는 자율주행, 스마트 팩토리, 원격 의료 등 고신뢰성 요구 시스템에 필수적인 기술입니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15The paper presents an integrated software fault injection environment (DOCTOR) which is capable of (1) generating synthetic workloads under which system dependability is evaluated, (2) injecting various types of faults with different options, and (3) collecting performance and dependability data. A comprehensive graphical user interface is also provided. The software implemented fault-injection tools supports three types of faults: memory faults, CPU faults, and communication faults. Each inject
Since real-time applications usually require not only timeliness but also fault-tolerance, it is essential to incorporate fault-tolerance into real-time communication services that are indispensable to distributed real-time applications. The techniques for failure recovery in datagram communication are not adequate for real-time communication, because they cannot provide recovery-delay guarantees. To ensure fast recovery of a real-time channel from network component failures, we need to reserve
Many applications require communication services with guaranteed timeliness and fault tolerance at an acceptable level of overhead. We present a scheme for restoring real-time channels, each with guaranteed timeliness, from component failures in multihop networks. To ensure fast/guaranteed recovery, backup channels are set up a priori, in addition to each primary channel. That is, a dependable real-time connection consists of a primary channel and one or more backup channels. If a primary channe
For many applications it is important to provide communication services with guaranteed timeliness and fault-tolerance at an acceptable level of overhead. In this paper, we present a scheme for restoring real-time channels, each with guaranteed timeliness, from component failures in multi-hop networks. To ensure fast/guaranteed recovery, backup channels are set up a priori in addition to each primary channel. That is, a dependable real-time connection consists of a primary channel and one or mor
Positioning based on long-term evolution (LTE) signals has been introduced as an alternative positioning method when Global Positioning System (GPS) is unavailable. One option for positioning based on LTE signals is to utilize received signal strength (RSS) measurements. There is a relationship between the distance from user equipment (UE) to an LTE base station (BS) and the measured LTE RSS. In this paper, we analyzed the aforementioned relationship and developed an application that can measure
For many applications it is important to provide communication services with guaranteed timeliness and fault-tolerance at an acceptable level of overhead. In this paper, we present a scheme for restoring real-time channels, each with guaranteed timeliness, from component failures in multi-hop networks. To ensure fast/guaranteed recovery, backup channels are set up a priori in addition to each primary channel . That is, a dependable real-time connection consists of a primary channel and one or mo
Physical layer capture is one of the basic causes of throughput unfairness in IEEE 802.11 Wireless LANs. While papers have analyzed the impact of capture on the overall throughput of a single 802.11 cell, we are unaware of any analysis of the relative unfairness among users as result of capture. Since this unfairness is related to the relative location of users, we call this as spatial unfairness. We provide, to the best of our knowledge, the first such analysis that characterizes the relative t
An effective failure-detection scheme is essential for reliable communication services. Most computer network rely on behavior-based detection schemes: each node uses heartbeats to detect the failure of its neighbor nodes, and the transport protocol (like TCP) achieves reliable communication by acknowledgment/retransmission. In this paper, we experimentally evaluate the effectiveness of such behavior-based detection schemes in real-time communication. Specifically, we measure and analyze the cov
Effective detection of failures is essential for reliable communication services. Traditionally, non-real-time computer networks have relied on behavior-based techniques for detecting communication failures. That is, each node uses heartbeats to detect the failure of its neighbors and the end-to-end transport protocol (e.g., TCP) achieves reliable communication by acknowledgment/retransmission. Recently, there has been a growing demand for reliable "real-time" communication, but little research
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