Demo Data from EDBT 2026 / reviewers in the wild / expert
Yuji Nishida
dblp:44/6334
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 56% Cloud and datacenter computing · 44% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed systems › experimental testbed
network testbed |
0.1 | 1 | 2008 | CoreLab: an emerging network testbed employing hosted virtual machine monitor · CoNEXT 2008 |
Cloud and datacenter computing
virtualization |
0.1 | 1 | 2008 | CoreLab: an emerging network testbed employing hosted virtual machine monitor · CoNEXT 2008 |
Distributed systems › middleware
virtual execution environment |
0.0 | 1 | 2008 | CoreLab: an emerging network testbed employing hosted virtual machine monitor · CoNEXT 2008 |
Methods — techniques the papers use, named apart from their topics
virtual machine monitor · 0.1KVM · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Virtual cognitive base station: Enhancing software-based virtual router architecture with cognitive radioabstractAMPHIBIA is a framework which enables dynamic virtual network provisioning over wired and wireless networks for providing diverse services by coordinated reconfiguration in both sides of wired and wireless networks, exploiting the emerging network virtualization and cognitive radio technologies. AMPHIBIA introduces a new concept of a virtual cognitive base station (vCBS), a cognitive base station built on the virtualized infrastructure. The target applications of AMPHIBIA include flexible and rapid deployment of mobile services, end-to-end QoS, efficient wireless and wired resource utilization, and green networking. In prior work, we proposed a basic framework design of AMPHIBIA and a service model. In this paper, we show the implementation and prototype system of AMPHIBIA including the implementation of a cognitive virtualization manager (CVM), which is responsible for coordinated reconfiguration. We implement the AMPHIBIA prototype as an extension of CoreLab, a flexible software-based virtual router platform. Specifically, we develop vCBS by incorporating cognitive radio functionalities into a CoreLab virtual machine (VM). We also implement CVM and a reconfiguration manager of cognitive radio as external entities to enhance CoreLab. We confirm the basic behavior of the prototype and demonstrate with a set of simple typical scenarios that a VM-based virtual network including vCBS can be dynamically created, expanded, and deleted, and mobile streaming services can be flexibly deployed on the virtual network on an on-demand basis. We also demonstrate that AMPHIBIA can create and reconfigure a vCBS in about 51 seconds, and can timely operate the successive handover of a mobile terminal. Kiyohide Nakauchi, Kentaro Ishizu, Homare Murakami, Yasunaga Kobari, Yuji Nishida, Akihiro Nakao, Hiroshi Harada |
ICC | 5 |
| 2008 | CoreLab: an emerging network testbed employing hosted virtual machine monitorabstractNetwork testbeds for developing, deploying, and experimenting with new network services have evolved as recent rapid progress in virtualization technology. This paper proposes a new network testbed that enhances PlanetLab and is based on a hosted virtual machine monitor (VMM) as a virtual execution environment (VEE) for network services to run on.This paper reports our experiences in developing such a prototype network testbed employing Kernel-based Virtual Machine (KVM) as a hosted VMM. The paper examines the performance and scalability of the prototype to see whether or not it fulfills what we believe to be the requirements for a new network testbed. Akihiro Nakao, Yuji Nishida |
CoNEXT | 3 |