Distributed data stream processing and edge computing: A survey on resource elasticity and future directions
By Marcos Dias de Assunção, Alexandre Aa Silva Veith, Rajkumar Buyya. Journal of Network and Computer Applications, 2017
302 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/b563a45f9c0e78f99eeb5459483682d82ca5ea99
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Computer Networks and Communications
In Information Systems
Citations in the corpus
- Resource Management in Fog/Edge Computing (2018, methodology): “Techniques for Modeling and Implementing Aggregation: The underlying techniques implemented for supporting aggregation have formed an important part of Wireless Sensor Networks (WSNs) [138] and distributed data stream processing [46].”
- Resource Management Approaches in Fog Computing: a Comprehensive Review (2019, methodology): “[21] have surveyed stream processing techniques for extracting resource elasticity features of edge computing in stream processing.”