activity
20112021
most citedPied Piper: Rethinking Internet Data Delivery

4 citations · 5 across the 3 of their papers we have counts for

collaborators

7 papers

math.PR20211 cited

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…

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.LG2019

RADE: Resource-Efficient Supervised Anomaly Detection Using Decision Tree-Based Ensemble Methods

Shay Vargaftik, Isaac Keslassy, Ariel Orda +1

Decision-tree-based ensemble classification methods (DTEMs) are a prevalent tool for supervised anomaly detection. However, due to the continued growth of datasets, DTEMs result in…

cs.NI20184 cited

Pied Piper: Rethinking Internet Data Delivery

Aran Bergman, Israel Cidon, Isaac Keslassy +4

We contend that, analogously to the transition from resource-limited on-prem computing to resource-abundant cloud computing, Internet data delivery should also be adapted to a real…

cs.DS2018

AnchorHash: A Scalable Consistent Hash

Gal Mendelson, Shay Vargaftik, Katherine Barabash +3

Consistent hashing (CH) is a central building block in many networking applications, from datacenter load-balancing to distributed storage. Unfortunately, state-of-the-art CH solut…

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…