activity
20162026
most citedAutomating In-Network Machine Learning

36 citations · 124 across the 26 of their papers we have counts for

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Showing cs.NIShow all

6 papers · 1 filter

cs.NI2025

Counter Pools: Counter Representation for Efficient Stream Processing

Ran Ben Basat, Gil Einziger, Bilal Tyah +1

Due to the large data volume and number of distinct elements, space is often the bottleneck of many stream processing systems. The data structures used by these systems often consi…

cs.NI2022★ 33 cited

IIsy: Practical In-Network Classification

Changgang Zheng, Zhaoqi Xiong, Thanh T Bui +6

The rat race between user-generated data and data-processing systems is currently won by data. The increased use of machine learning leads to further increase in processing require…

cs.NI2022★ 36 cited

Automating In-Network Machine Learning

Changgang Zheng, Mingyuan Zang, Xinpeng Hong +4

Using programmable network devices to aid in-network machine learning has been the focus of significant research. However, most of the research was of a limited scope, providing a…

cs.NI2020

LSQ: Load Balancing in Large-Scale Heterogeneous Systems with Multiple Dispatchers

Shay Vargaftik, Isaac Keslassy, Ariel Orda

Nowadays, the efficiency and even the feasibility of traditional load-balancing policies are challenged by the rapid growth of cloud infrastructure and the increasing levels of ser…

cs.NI2018

Memento: Making Sliding Windows Efficient for Heavy Hitters

Ran Ben Basat, Gil Einziger, Isaac Keslassy +3

Cloud operators require real-time identification of Heavy Hitters (HH) and Hierarchical Heavy Hitters (HHH) for applications such as load balancing, traffic engineering, and attack…

cs.NI2016★ 10 cited

C-Share: Optical Circuits Sharing for Software-Defined Data-Centers

Yaniv Ben-Itzhak, Cosmin Caba, Liran Schour +1

Integrating optical circuit switches in data-centers is an on-going research challenge. In recent years, state-of-the-art solutions introduce hybrid packet/circuit architectures fo…