Large-Scale Systems Management

Research Staff

  • Prof. Shoji Kasahara

    Prof.
    Shoji Kasahara

  • Assoc.Prof. Masahiro Sasabe

    Assoc.Prof.
    Masahiro Sasabe

  • Assist.Prof. Jun Kawahara

    Assist.Prof.
    Jun Kawahara

  • Assist.Prof. YuanYu Zhang

    Assist.Prof.
    YuanYu Zhang

E-mail { kasahara, sasabe, jkawahara, yyzhang }[at] is.naist.jp

Research Area

System analytics and simulation

Large-scale system modeling

Markov analysis

Queueing theory

Simulation tools and techniques for large-scale systems

Mechanism design

Distributed virtual currency and smart contract

Human-behavior-aware network systems

Automation of hazard area estimation and evacuation guidance

Crowd guidance for congestion alleviation

Navigation for people with walking difficulty

Delay tolerant networking

Network design

Next generation networks

Cognitive radio

Cloud computing

Controllable P2P contents distribution systems

Game-theoretic approach

Algorithms for large-scale data processing

Hadoop distributed processing systems/frameworks/clusters

Task scheduling and file systems for cloud

Online algorithms

Large-scale graph and network algorithms

Advanced data structure

IoT security

Physical layer authentication

Physical layer secret key generation

Access control

Key Features

The Large-Scale Systems Management Lab research aims to develop mathematical modeling and simulation techniques for design, control and architecture of large-scale systems such as computer/communication networks, with which the resulting systems achieve high performance, low vulnerability and highly efficiency energy. Our research focus is on network-science oriented design frameworks, fundamental technologies and highly qualified services, particularly for large-scale computer/communication network systems. The laboratory was established in June 2012, and we welcome students from abroad who have strong interest in theories and simulation skills for designing smart services over large-scale complex systems including data centers, cognitive radio networks, and energy-harvesting networks.

Fig.1  Network system analytics

Fig.1 Distributed virtual currency and smart contract network

>Fig.2  Hazard-area estimation and evacuation guidance using trajectories of mobile terminals

Fig.2 Hazard-area estimation and evacuation guidance using trajectories of mobile terminals

Fig.3  Large-scale systems modeling (task scheduling for cloud computing)

Fig.3 Cognitive radio

Fig.4 100 node scale-out cluster server

Fig.4 Large-scale graph algorithms