157 citations · 162 across the 4 of their papers we have counts for
5 papers · 1 filter
The Future is Big Graphs! A Community View on Graph Processing Systems
Sherif Sakr, Angela Bonifati, Hannes Voigt +38
Graphs are by nature unifying abstractions that can leverage interconnectedness to represent, explore, predict, and explain real- and digital-world phenomena. Although real users a…
A Survey on the Evolution of Stream Processing Systems
Marios Fragkoulis, Paris Carbone, Vasiliki Kalavri +1
Stream processing has been an active research field for more than 20 years, but it is now witnessing its prime time due to recent successful efforts by the research community and n…
Practice of Streaming Processing of Dynamic Graphs: Concepts, Models, and Systems
Maciej Besta, Marc Fischer, Vasiliki Kalavri +2
Graph processing has become an important part of various areas of computing, including machine learning, medical applications, social network analysis, computational sciences, and…
Megaphone: Latency-conscious state migration for distributed streaming dataflows
Moritz Hoffmann, Andrea Lattuada, Frank McSherry +3
We design and implement Megaphone, a data migration mechanism for stateful distributed dataflow engines with latency objectives. When compared to existing migration mechanisms, Meg…
High-Level Programming Abstractions for Distributed Graph Processing
Vasiliki Kalavri, Vladimir Vlassov, Seif Haridi
Efficient processing of large-scale graphs in distributed environments has been an increasingly popular topic of research in recent years. Inter-connected data that can be modeled…