activity
20112025
most citedThe Power of Both Choices: Practical Load Balancing for Distributed Stream Processing Engines

124 citations · 521 across the 30 of their papers we have counts for

collaborators
Showing cs.DCShow all

5 papers · 1 filter

cs.DC2020

Aion: Better Late than Never in Event-Time Streams

Sérgio Esteves, Gianmarco De Francisci Morales, Rodrigo Rodrigues +2

Processing data streams in near real-time is an increasingly important task. In the case of event-timestamped data, the stream processing system must promptly handle late events th…

cs.DC2018

Large-Scale Learning from Data Streams with Apache SAMOA

Nicolas Kourtellis, Gianmarco De Francisci Morales, Albert Bifet

Apache SAMOA (Scalable Advanced Massive Online Analysis) is an open-source platform for mining big data streams. Big data is defined as datasets whose size is beyond the ability of…

cs.DC2015

When Two Choices Are not Enough: Balancing at Scale in Distributed Stream Processing

Muhammad Anis Uddin Nasir, Gianmarco De Francisci Morales, Nicolas Kourtellis +1

Carefully balancing load in distributed stream processing systems has a fundamental impact on execution latency and throughput. Load balancing is challenging because real-world wor…

cs.DC2015★ 124 cited

The Power of Both Choices: Practical Load Balancing for Distributed Stream Processing Engines

Muhammad Anis Uddin Nasir, Gianmarco De Francisci Morales, David García-Soriano +2

We study the problem of load balancing in distributed stream processing engines, which is exacerbated in the presence of skew. We introduce Partial Key Grouping (PKG), a new stream…

cs.DC2015★ 1 cited

Scalable Facility Location for Massive Graphs on Pregel-like Systems

Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis +1

We propose a new scalable algorithm for facility location. Facility location is a classic problem, where the goal is to select a subset of facilities to open, from a set of candida…