36 citations · 37 across the 3 of their papers we have counts for
9 papers
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…
Stochastic Coordination in Heterogeneous Load Balancing Systems
Guy Goren, Shay Vargaftik, Yoram Moses
Current-day data centers and high-volume cloud services employ a broad set of heterogeneous servers. In such settings, client requests typically arrive at multiple entry points, an…
On the Persistent-Idle Load Distribution Policy Under Batch Arrivals and Random Service Capacity
Rami Atar, Isaac Keslassy, Gal Mendelson +2
The Persistent-Idle (PI) load distribution policy was recently introduced as an appealing alternative to current low-communication load balancing techniques. In PI, servers only up…
SALSA: Self-Adjusting Lean Streaming Analytics
Ran Ben Basat, Gil Einziger, Michael Mitzenmacher +1
Counters are the fundamental building block of many data sketching schemes, which hash items to a small number of counters and account for collisions to provide good approximations…
Faster and More Accurate Measurement through Additive-Error Counters
Ran Ben Basat, Gil Einziger, Michael Mitzenmacher +1
Counters are a fundamental building block for networking applications such as load balancing, traffic engineering, and intrusion detection, which require estimating flow sizes and…
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…