Kanada's papers

Kanada, Y., and Nakao, A., 3nd IEICE SIG on Network Virtualization, 2012-3-2.
[ 日本語のページ ]
[ Slide PDF file (in Japanese) ]

(No paper is available.)

Abstract: In a collaboration project, the virtualization node (VNode) and the virtualization platform are developed. A feature of VNode is architecture that supports independent component-evolution. In this presentation, we propose clean-virtualization concept, and show that VNode realizes this concept, and that this concept is important to implement architecture that supports independent component evolution. In addition, we show the method of implementing the architecture and realizing the condept in VNode, especially the implementation of the architecture in the redirector, a part of VNode.

Introduction to this research theme: Network virtualization

Kanada, Y. and Nakao, A., World Telecommunication Congress 2012 (WTC 2012), 2012-3-5.
[ 日本語のページ ]
[ Paper PDF file ]
[ IEEExplore Paper page ]
[ Slides PDF file ]

Abstract: We have developed an experimental non-IP/non-Ethernet protocol called IPEC (IP Ether Chimera). IPEC switches learn IPEC addresses that are structured hierarchically, similar to IP addresses, using an algorithm that extends the learning algorithm of Ethernet switches. IPEC is a simple non-IP network-layer protocol that has features of both Ethernet and IP. Unlike IP, IPEC introduces an address group to manage multiple terminals as a group to make learning of mobile terminals more scalable and more efficient than Ethernet. Because an address group is the unit of learning in IPEC, it is more scalable than Ethernet, and mobile groups can be learned more efficiently. In addition, IPEC tolerates loops in a network as long as a limited number of duplicate packets are allowed, and thus, enable an alternative route against link failures. We have implemented IPEC both on an IPEC-capable switches using LAN cards and on a virtual network using virtualization nodes (VNodes), which have been developed to experiment with non-IP protocols such as IPEC. We show evaluations that the group learning function of IPEC is viable especially for multiple terminals moving together concurrently.

Introduction to this research theme: Network virtualization