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Orchestrating machine learning models in a swarm architecture for IoT inline malware detection. [PDF]
Hanif M +5 more
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Network traffic control method of NHP based on deep reinforcement learning. [PDF]
Huang Q, Tan Z, Wang Q, Jia Z, Chen B.
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Enhanced CNN based approach for IoT edge enabled smart car driving system for improving real time control and navigation. [PDF]
Sudhakar M, Vivekrabinson K.
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End-to-End Path Computer Schemes for Traffic Engineering in Next Generation Multi-Domain Networks
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Hardware based scalable path computation engine for multilayer traffic engineering in GMPLS networks
2008 34th European Conference on Optical Communication, 2008A parallel data-flow hardware based path computation engine that makes multilayer traffic engineering more scalable is proposed. The engine achieves 100 times faster than conventional path computation scheme.
null Sho Shimizu +4 more
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Comparative analysis of path computation techniques for MPLS traffic engineering
Computer Networks, 2002We consider the problem of computing traffic engineered paths for requests having bandwidth and delay requirements, when these requests arrive in the network independent of one another. Providing bandwidth guarantees to applications has been important in networks offering service differentiation.
Gargi Banerjee, Deepinder Sidhu
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Minimal feedback optimal algorithms for traffic engineering in computer networks
2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601), 2004This paper addresses the problem of traffic engineering in computer networks. More precisely, optimal data rate adaptation laws are provided, which are applicable to networks where both multiple paths are available between any pair of source/destination nodes and multiple classes of service are to be provided.
B.A. Movsichoff, C. Lagoa
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Review of computer software for traffic engineers
Transport Reviews, 1989The mid‐1970s saw the initiation of several lengthy research and development programmes in the United Kingdom which culminated in a range of software for the traffic engineer. The early 1980s brought cheap, powerful microcomputers, thereby enabling the facilities offered by the software to be exploited to the full.
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