4 citations · 8 across the 6 of their papers we have counts for
7 papers
On the Semantic Overlap of Operators in Stream Processing Engines
Vincenzo Gulisano, Alessandro Margara, Marina Papatriantafilou
Stream processing is extensively used in the IoT-to-Cloud spectrum to distill information from continuous streams of data. Streaming applications usually run in dedicated Stream Pr…
Geographical Peer Matching for P2P Energy Sharing
Romaric Duvignau, Vincenzo Gulisano, Marina Papatriantafilou +1
Significant cost reductions attract ever more households to invest in small-scale renewable electricity generation and storage. Such distributed resources are not used in the most…
STRETCH: Virtual Shared-Nothing Parallelism for Scalable and Elastic Stream Processing
Vincenzo Gulisano, Hannaneh Najdataei, Yiannis Nikolakopoulos +3
Stream processing applications extract value from raw data through Directed Acyclic Graphs of data analysis tasks. Shared-nothing (SN) parallelism is the de-facto standard to scale…
Performance Modeling and Vertical Autoscaling of Stream Joins
Hannaneh Najdataei, Vincenzo Gulisano, Alessandro V. Papadopoulos +3
Streaming analysis is widely used in cloud as well as edge infrastructures. In these contexts, fine-grained application performance can be based on accurate modeling of streaming o…
Piecewise Linear Approximation in Data Streaming: Algorithmic Implementations and Experimental Analysis
Romaric Duvignau, Vincenzo Gulisano, Marina Papatriantafilou +1
Piecewise Linear Approximation (PLA) is a well-established tool to reduce the size of the representation of time series by approximating the series by a sequence of line segments w…
Lisco: A Continuous Approach in LiDAR Point-cloud Clustering
Hannaneh Najdataei, Yiannis Nikolakopoulos, Vincenzo Gulisano +1
The light detection and ranging (LiDAR) technology allows to sense surrounding objects with fine-grained resolution in a large areas. Their data (aka point clouds), generated conti…
Efficient data streaming multiway aggregation through concurrent algorithmic designs and new abstract data types
Vincenzo Gulisano, Yiannis Nikolakopoulos, Daniel Cederman +2
Data streaming relies on continuous queries to process unbounded streams of data in a real-time fashion. It is commonly demanding in computation capacity, given that the relevant a…