Paper Info
Title
Metis - Optimal Task Allocation Framework for the Edge/Hub/Cloud Paradigm.
Abstract
Increased demands for real-time decision support and data analytics facilitate the need of performing significant computing away from the cloud and onto the IoT devices. In this paper, we propose Metis, a mathematical programming based framework, able to deliver an optimal task allocation when targeting a specific performance metric. Metis is currently suitable for systems which consist of an edge node, an intermediate node and the cloud infrastructure, but can be expanded to multi-Edge/Hub systems. Evaluation results using a real-life use-case scenario demonstrate that Metis provides the optimal task allocation by minimizing the overall latency of the system while taking into consideration the application's specific requirements and resource constraints of each computational unit.
Year
DOI
Venue
2019
10.1145/3312614.3312643
COINS
Keywords
Field
DocType
Edge-Hub-Cloud Paradigm, Mathematical Programming, Optimal Task Allocation, Real-life use-case Scenario
Edge node,Specific performance,Data analysis,Latency (engineering),Computer science,Internet of Things,Metis,Decision support system,Cloud computing,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-4503-6640-3
2
0.44
References 
Authors
0
3
Name
Order
Citations
PageRank
Andreas Kouloumpris120.44
Theocharis Theocharides220526.83
Maria K. Michael317625.89