Some principles for designing a wide-area WDM optical network
IEEE/ACM Transactions on Networking (TON)
Virtual-topology adaptation for WDM mesh networks under dynamic traffic
IEEE/ACM Transactions on Networking (TON)
Structural analysis of network traffic flows
Proceedings of the joint international conference on Measurement and modeling of computer systems
The problem of synthetically generating IP traffic matrices: initial recommendations
ACM SIGCOMM Computer Communication Review
Biologically inspired self-adaptive multi-path routing in overlay networks
Communications of the ACM - Self managed systems
Life: An Introduction to Complex Systems Biology (Understanding Complex Systems)
Life: An Introduction to Complex Systems Biology (Understanding Complex Systems)
Application of attractor selection to adaptive virtual network topology control
Proceedings of the 3rd International Conference on Bio-Inspired Models of Network, Information and Computing Sytems
Design of logical topologies for wavelength-routed optical networks
IEEE Journal on Selected Areas in Communications
On-line integrated routing in dynamic multifiber IP/WDM networks
IEEE Journal on Selected Areas in Communications
Integrated IP/WDM routing in GMPLS-based optical networks
IEEE Network: The Magazine of Global Internetworking
Cooperation among multiple virtual topologies based on attractor superimposition
ONDM'10 Proceedings of the 14th conference on Optical network design and modeling
Forward-Looking WDM Network Reconfiguration with Per-Link Congestion Control
Journal of Network and Systems Management
Control and visualization system for managed self-organization network
Proceedings of the 7th International Conference on Network and Services Management
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The growth of the Internet and emerging application layer technologies causes numerous changes in network environments. Therefore, it becomes important to achieve robust methods of controlling networks in addition to optimizing their performance. In this paper, we propose a robust virtual network topology (VNT) control method based on attractor selection, which models behaviors where biological systems adapt to unknown changes in their surrounding environments and recover their conditions. The simulation results indicate that our proposed method adaptively responds to various changes in traffic demand and link failures.