124 citations · 1.2k across the 61 of their papers we have counts for
7 papers · 1 filter
S2CE: A Hybrid Cloud and Edge Orchestrator for Mining Exascale Distributed Streams
Nicolas Kourtellis, Herodotos Herodotou, Maciej Grzenda +2
The explosive increase in volume, velocity, variety, and veracity of data generated by distributed and heterogeneous nodes such as IoT and other devices, continuously challenge the…
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…
Load Balancing for Skewed Streams on Heterogeneous Cluster
Muhammad Anis Uddin Nasir, Hiroshi Horii, Marco Serafini +4
Streaming applications frequently encounter skewed workloads and execute on heterogeneous clusters. Optimal resource utilization in such adverse conditions becomes a challenge, as…
VHT: Vertical Hoeffding Tree
Nicolas Kourtellis, Gianmarco De Francisci Morales, Albert Bifet +1
IoT Big Data requires new machine learning methods able to scale to large size of data arriving at high speed. Decision trees are popular machine learning models since they are ver…
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…
Socially-Aware Distributed Hash Tables for Decentralized Online Social Networks
Muhammad Anis Uddin Nasir, Sarunas Girdzijauskas, Nicolas Kourtellis
Many decentralized online social networks (DOSNs) have been proposed due to an increase in awareness related to privacy and scalability issues in centralized social networks. Such…
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…