TY - GEN
T1 - An evolutionary node architecture and performance optimization
AU - Liu, Tao
AU - Qian, Depei
AU - Huang, Yongxiang
AU - He, Ying
AU - Wang, Rui
PY - 2008
Y1 - 2008
N2 - The boom of Internet applications has resulted in ever increasing demands for new network services support. Different applications require different QoS, protocols and security mechanisms to be deployed in the network. These demand the network to evolve to keep pace with the change of application requirements. As the current Internet's functions are very hard to expand and cope with the changing environment. A new evolutionary node architecture is proposed in this paper. New network services, protocols, control and management functions can be dynamically deployed on the ENN node so that the network can exhibit a flexible and application sensitive behavior. Major technical issues related to ENN are discussed. A prototyping evolutionary network called FAN is designed and implemented. The performance of the mobile agent execution environment was analyzed, evaluated and optimized. Experiments on FAN show that the ENN architecture is effective in promoting the evolution of the network.
AB - The boom of Internet applications has resulted in ever increasing demands for new network services support. Different applications require different QoS, protocols and security mechanisms to be deployed in the network. These demand the network to evolve to keep pace with the change of application requirements. As the current Internet's functions are very hard to expand and cope with the changing environment. A new evolutionary node architecture is proposed in this paper. New network services, protocols, control and management functions can be dynamically deployed on the ENN node so that the network can exhibit a flexible and application sensitive behavior. Major technical issues related to ENN are discussed. A prototyping evolutionary network called FAN is designed and implemented. The performance of the mobile agent execution environment was analyzed, evaluated and optimized. Experiments on FAN show that the ENN architecture is effective in promoting the evolution of the network.
UR - https://www.scopus.com/pages/publications/50049123324
U2 - 10.1109/AICCSA.2008.4493541
DO - 10.1109/AICCSA.2008.4493541
M3 - 会议稿件
AN - SCOPUS:50049123324
SN - 9781424419685
T3 - AICCSA 08 - 6th IEEE/ACS International Conference on Computer Systems and Applications
SP - 241
EP - 246
BT - AICCSA 08 - 6th IEEE/ACS International Conference on Computer Systems and Applications
T2 - s6th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2008
Y2 - 31 March 2008 through 4 April 2008
ER -