Revisiting heavy-hitter detection on commodity programmable switches
Existing in-network heavy-hitter detection algorithms suffer from several shortcomings. On
the one hand, most of the algorithms perform monitoring in intervals and reset the data …
the one hand, most of the algorithms perform monitoring in intervals and reset the data …
Revisiting heavy-hitters: Don't count packets, compute flow inter-packet metrics in the data plane
Detecting Heavy Hitter (HH) flows, ie, flows exceeding a pre-determined threshold in a time
window, is a fundamental task as it enables network management and security applications …
window, is a fundamental task as it enables network management and security applications …
Mining frequent items over the distributed hierarchical continuous weighted data streams in Internet of Things
S Zhang, Y Zhang, L Yin, T Yuan, Z Wu, H Luo - IEEE Access, 2019 - ieeexplore.ieee.org
Recently, with the increasing supply of band width and the diversification of applications in
the Internet of Things (IoT), it has been a challenging problem to identify frequent items (also …
the Internet of Things (IoT), it has been a challenging problem to identify frequent items (also …
[PDF][PDF] Efficient heavy hitters identification over speed traffic streams
S Zhang, H Luo, Z Wu, Y Sun, Y Wang… - Computers, Materials & …, 2020 - cdn.techscience.cn
With the rapid increase of link speed and network throughput in recent years, much more
attention has been paid to the work of obtaining statistics over speed traffic streams. It is a …
attention has been paid to the work of obtaining statistics over speed traffic streams. It is a …
[PDF][PDF] Revisiting heavy-hitters
Detecting Heavy Hitter (HH) flows, ie, flows exceeding a predetermined threshold in a time
window, is a fundamental task as it enables network management and security applications …
window, is a fundamental task as it enables network management and security applications …