Large-Scale Systems Management
Research Staff
-
Prof.
Shoji Kasahara -
Assoc.Prof.
Masahiro Sasabe -
Affiliate Assoc.Prof.
Jun Kawahara -
Assist.Prof.
YuanYu Zhang
E-mail { kasahara, sasabe, jkawahara, yyzhang }[at] is.naist.jp
Research Areas
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 contracts
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
Ultra-scalable Blockchain technology
Stochastic modeling and analysis of the fork mechanism of blockchains
P2P networking technologies for high-speed block synchronization
Block generation based on advanced data structure
Innovative applications of highly-scalable blockchain technologies
Network optimization
Next generation networks
Cloud computing
Controllable P2P contents distribution systems
Network function virtualization (NFV) networks
Mathematical optimization
Game-theoretic approach
IoT security
Blockchain-based access control
Physical layer security-based secure wireless communications
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 Blockchains, data centers, cognitive radio networks, and energy-harvesting networks.