For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
Congestion Control for Multi-Source Content Retrieval in Content Centric Networks
Junpei MIYOSHI Satoshi KAWAUCHI Masaki BANDAI Miki YAMAMOTO
IEICE TRANSACTIONS on Communications
Publication Date: 2019/09/01
Online ISSN: 1745-1345
Type of Manuscript: Special Section PAPER (Special Section on Enhancing Information Centric Networking Technologies Towards Real-world Infrastructure)
Content Centric Network, congestion control, multiple content sources,
Full Text: PDF(3.4MB)>>
CCN/NDN (Content-Centric Networking/Named-Data Networking) is one of the most promising content-oriented network architectures. In CCN/NDN, forwarding information base (FIB) might have multiple entries for a same content name prefix, which means CCN/NDN potentially supports multi-source download. When a content is obtained from multiple sources, the technical knowledge obtained for congestion control in the current Internet cannot be simply applied. This is because in the current Internet, FIB is restricted to have only one entry for each IP address prefix, which causes quite different path feature from CCN/NDN. This paper proposes a new congestion control for CCN/NDN with multi-source content retrieval. The proposed congestion control is composed of end-to-end window flow control and router assisted Interest forwarding control, and enables transmission rate regulation only on a congested branch.