Abstract | ||
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Content-Centric Networking (CCN), a typical future Internet architecture focused on content dissemination and retrieval, brings a paradigm shift in network model by addressing named-data instead of host location. Many fields related to CCN become the research hotspots, such as caching and name-based routing. However, little work has addressed on its transmission protocol in literature. In this paper, we proposed an effective Congestion Control Scheme (CCS) in CCN through combining a router-driven congestion forecast with a requester-driven Interest control protocol. Each router detects the network congestion status and then informs the requester by setting Congestion Information Bits into the returned Data packet passed by. Then the requester dynamically adjusts its Interest sending window according to the received feedback congestion information. Furthermore, in our scheme, a Fair Queuing algorithm is used on each router, allowing max-min fair share of the link capacity. A performance evaluation using simulation designed on OMNet++ network simulator showed that the proposed CCS causes fewer packet losses, decreases Data packet delay, treats each flow fairly and maximizes the use of bandwidth. |
Year | DOI | Venue |
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2012 | 10.1109/PDCAT.2012.43 | PDCAT |
Keywords | Field | DocType |
network simulator,bandwidth maximization,interest sending window,congestion information bits,omnet++ network simulator,link capacity max-min fair share,congestion control scheme,fair queuing algorithm,named-data,data packet,telecommunication congestion control,ccn,queueing theory,network congestion status,content retrieval,requester-driven interest control protocol,information dissemination,transport protocols,packet loss,effective congestion control scheme,telecommunication links,ccs,internet,router-driven congestion forecast,feedback congestion information,content dissemination,digital simulation,future internet architecture,telecommunication network routing,content-centric networking,fewer packet loss,data packet delay,network model,content-based retrieval | Computer science,Network packet,Computer network,Packet loss,Network congestion,Content centric networking,Network traffic control,Bandwidth management,Explicit Congestion Notification,Fair queuing,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-0-7695-4879-1 | 6 | 0.43 |
References | Authors | |
2 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tongmin Fu | 1 | 6 | 0.43 |
Yang Li | 2 | 208 | 15.35 |
Tao Lin | 3 | 52 | 2.75 |
Hong-yan Tan | 4 | 9 | 0.94 |
Hui Tang | 5 | 58 | 4.34 |
Song Ci | 6 | 1086 | 106.10 |