@article{(Open Science Index):https://publications.waset.org/pdf/10013281,
	  title     = {Low-Latency and Low-Overhead Path Planning for In-band Network-Wide Telemetry},
	  author    = {Penghui Zhang and  Hua Zhang and  Jun-Bo Wang and  Cheng Zeng and  Zijian Cao},
	  country	= {},
	  institution	= {},
	  abstract     = {With the development of software-defined networks and programmable data planes, in-band network telemetry (INT) has become an emerging technology in communications because it can get accurate and real-time network information. However, due to the expansion of the network scale, existing telemetry systems, to the best of the authors’ knowledge, have difficulty in meeting the common requirements of low overhead, low latency and full coverage for traffic measurement. This paper proposes a network-wide telemetry system with a low-latency low-overhead path planning (INT-LLPP). This paper builds a mathematical model to analyze the telemetry overhead and latency of INT systems. Then, we adopt a greedy-based path planning algorithm to reduce the overhead and latency of the network telemetry with the full network coverage. The simulation results show that network-wide telemetry is achieved and the telemetry overhead can be reduced significantly compared with existing INT systems. INT-LLPP can control the system latency to get real-time network information.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {17},
	  number    = {10},
	  year      = {2023},
	  pages     = {538 - 544},
	  ee        = {https://publications.waset.org/pdf/10013281},
	  url   	= {https://publications.waset.org/vol/202},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 202, 2023},
	}