113 citations · 189 across the 7 of their papers we have counts for
7 papers
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…
A Streaming Machine Learning Framework for Online Aggression Detection on Twitter
Herodotos Herodotou, Despoina Chatzakou, Nicolas Kourtellis
The rise of online aggression on social media is evolving into a major point of concern. Several machine and deep learning approaches have been proposed recently for detecting vari…
Hihooi: A Database Replication Middleware for Scaling Transactional Databases Consistently
Michael A. Georgiou, Aristodemos Paphitis, Michael Sirivianos +1
With the advent of the Internet and Internet-connected devices, modern business applications can experience rapid increases as well as variability in transactional workloads. Datab…
Automating Distributed Tiered Storage Management in Cluster Computing
Herodotos Herodotou, Elena Kakoulli
Data-intensive platforms such as Hadoop and Spark are routinely used to process massive amounts of data residing on distributed file systems like HDFS. Increasing memory sizes and…
Stubby: A Transformation-based Optimizer for MapReduce Workflows
Harold Lim, Herodotos Herodotou, Shivnath Babu
There is a growing trend of performing analysis on large datasets using workflows composed of MapReduce jobs connected through producer-consumer relationships based on data. This t…
Hadoop Performance Models
Herodotos Herodotou
Hadoop MapReduce is now a popular choice for performing large-scale data analytics. This technical report describes a detailed set of mathematical performance models for describing…