Shigang Chen, Ph.D., a professor, and his team at the Department of Computer & Information Science & Engineering (CISE) recently received the best paper award at the 29th IEEE International Conference on Network Protocols (ICNP) for their research on non-duplicate sampling and its applications in network traffic monitoring.
“This research will make network monitoring faster and more accurate and hence benefit the maintenance of a secure, healthy network environment,” Dr. Chen said.
The paper, titled “Virtual Filter for Non-duplicate Sampling,” was co-authored by CISE doctoral students Chaoyi Ma, Haibo Wang and Olufemi O. Odegbile, and Dr. Chen. The research focuses on the problem of improving the processing speed and memory efficiency for non-duplicate sampling, which is a new topic that complements the well-known traditional sampling technique used by major data centers.
When asked about the team’s next steps, Dr. Chen replied, “We plan to optimize the algorithm to adapt to specific real-world applications and continue our research in the field of measurement on the big-network data.”
ICNP is the premier conference covering all aspects of network protocol research, including design, analysis, specification, verification, implementation and performance.
“This year, a total of 154 papers were submitted. Among those, 38 were accepted and ours was selected for the Best Paper Award,” Dr. Chen said.
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