TY - GEN
T1 - Green growth in NDN
T2 - 22nd IEEE International Symposium on Local and Metropolitan Area Networks, IEEE LANMAN 2016
AU - Aubry, Elian
AU - Silverston, Thomas
AU - Chrisment, Isabelle
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/8/22
Y1 - 2016/8/22
N2 - Named-Data Networking architecture relies on cache networks, where nodes store the data for further requests. However, the memory needed at each node called Content Store represents the most significant part of the entire cost of the infrastructure that has to be supported by network providers, making difficult the change from the current Internet infrastructure to a Future Internet based on NDN. Thus, a legitimate question would be: 'are all these Content Stores useful in a large-scale NDN network?' In this paper, we investigate the impact of Content Stores in NDN network, and we evaluate the performances of the NDN architecture according to the number of Content Stores effectively deployed in the network. We show through extensive simulation experiments in NS-3 that only about 50% of nodes with Content Stores is enough to achieve higher level of performances than a fully-deployed NDN network. This result is very important for the deployment of NDN architecture as it shows that the infrastructure cost can be drastically reduced and it is an incentive for network providers that benefits directly from this result.
AB - Named-Data Networking architecture relies on cache networks, where nodes store the data for further requests. However, the memory needed at each node called Content Store represents the most significant part of the entire cost of the infrastructure that has to be supported by network providers, making difficult the change from the current Internet infrastructure to a Future Internet based on NDN. Thus, a legitimate question would be: 'are all these Content Stores useful in a large-scale NDN network?' In this paper, we investigate the impact of Content Stores in NDN network, and we evaluate the performances of the NDN architecture according to the number of Content Stores effectively deployed in the network. We show through extensive simulation experiments in NS-3 that only about 50% of nodes with Content Stores is enough to achieve higher level of performances than a fully-deployed NDN network. This result is very important for the deployment of NDN architecture as it shows that the infrastructure cost can be drastically reduced and it is an incentive for network providers that benefits directly from this result.
UR - http://www.scopus.com/inward/record.url?scp=84987704936&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84987704936&partnerID=8YFLogxK
U2 - 10.1109/LANMAN.2016.7548850
DO - 10.1109/LANMAN.2016.7548850
M3 - Conference contribution
AN - SCOPUS:84987704936
T3 - IEEE Workshop on Local and Metropolitan Area Networks
BT - IEEE LANMAN 2016 - 22nd IEEE International Symposium on Local and Metropolitan Area Networks
PB - IEEE Computer Society
Y2 - 13 June 2016 through 15 June 2016
ER -