An Agent-Based Fog Computing Architecture for Resilience on Amazon EC2 Spot Instances

Cloud computing providers have started offering their idle resources as transient servers. Spot instances are transient servers offered by Amazon, whose prices dynamically change over time based on supply and demand. By using appropriate strategies and fault-tolerant mechanisms, users can effectivel...

Full description

Saved in:
Bibliographic Details
Published in2018 7th Brazilian Conference on Intelligent Systems (BRACIS) pp. 360 - 365
Main Authors Araujo Neto, Jose Pergentino, Pianto, Donald M., Ralha, Celia G.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2018
Subjects
Agent-based Architecture
Checkpoint
Cloud computing
Computational modeling
Computer architecture
Fault Tolerance
Machine Learning
Predictive models
Servers
Silicon
Spot Instance
Transient analysis
Online AccessGet full text

Cover

More Information
Summary:Cloud computing providers have started offering their idle resources as transient servers. Spot instances are transient servers offered by Amazon, whose prices dynamically change over time based on supply and demand. By using appropriate strategies and fault-tolerant mechanisms, users can effectively use spot instances to run applications at a lower price. This paper presents a resilient agent-based fog computing architecture that combines machine learning and a statistical model to predict time to instance revocation and helps to refine fault tolerance parameters and reduce total execution time. The experiments demonstrate that our model predicts with high levels of accuracy reaching 94% success rate what indicates the model is effective under realistic working conditions.
DOI:10.1109/BRACIS.2018.00069