Title
Matching-based Scheduling of Asynchronous Data Processing Workflows on the Computing Continuum
Abstract
Today's distributed computing infrastructures en-compass complex workflows for real-time data gathering, transferring, storage, and processing, quickly overwhelming centralized cloud centers. Recently, the computing continuum that federates the Cloud services with emerging Fog and Edge devices represents a relevant alternative for supporting the next-generation data processing workflows. However, eminent challenges in automating data processing across the computing continuum still exist, such as scheduling heterogeneous devices across the Cloud, Fog, and Edge layers. We propose a new scheduling algorithm called C <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> -MATCH, based on matching theory principles, involving two sets of players negotiating different utility functions: 1) workflow microservices that prefer computing devices with lower data processing and queuing times; 2) computing continuum devices that prefer microservices with corresponding resource requirements and less data transmission time. We evaluate <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$C^{3}$</tex> -MATCH using real-world road sign inspection and sentiment analysis workflows on a federated computing continuum across four Cloud, Fog, and Edge providers. Our combined simulation and real execution results reveal that <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$C^{3}$</tex> -MATCH achieves up to 67% lower completion time than three state-of-the-art methods with 10 ms-1000 ms higher transmission time.
Year
DOI
Venue
2022
10.1109/CLUSTER51413.2022.00021
2022 IEEE International Conference on Cluster Computing (CLUSTER)
Keywords
DocType
ISSN
Computing continuum,Cloud,Fog,Edge,asynchronous communication,scheduling,matching theory
Conference
1552-5244
ISBN
Citations 
PageRank 
978-1-6654-9857-9
0
0.34
References 
Authors
25
4
Name
Order
Citations
PageRank
Narges Mehran100.34
Zahra Najafabadi Samani200.34
Dragi Kimovski300.34
Radu Prodan400.34