Self-Adaptive Healing for Containerized Cluster Architectures with Hidden Markov Models

SAMIR, Areeg; Pahl, C.

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Self-Adaptive Healing for Containerized Cluster Architectures with Hidden Markov Models

SAMIR, Areeg; Pahl, C.

2019 • In The Fourth IEEE International Conference on Fog and Mobile Edge Computing

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https://hdl.handle.net/10993/42063

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Détails

Mots-clés :

Anomaly detection; Anomaly identification; Anomaly recovery; Cloud; Cluster; Containers; Fault; HMMs; Performance monitoring.; Prediction

Disciplines :

UNKNOWN KEY #D02

Auteur, co-auteur :

SAMIR, Areeg ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)

Pahl, C.

Titre :

Self-Adaptive Healing for Containerized Cluster Architectures with Hidden Markov Models

Date de publication/diffusion :

2019

Titre de l'ouvrage principal :

The Fourth IEEE International Conference on Fog and Mobile Edge Computing

Maison d'édition :

IEEE Computer Society, Rome, Italy, Inconnu/non spécifié

Disponible sur ORBilu :

depuis le 24 janvier 2020

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Bibliographie

C. Mahmoudi, F. Mourlin, and A. Battou, "Formal definition of edge computing: An emphasis on mobile cloud and IoT composition, " 2018 Third International Conference on Fog and Mobile Edge Computing (FMEC), pp. 34-42, 2018.
D. von Leon, L. Miori, J. Sanin, N. El Ioini, S. Helmer, and C. Pahl, "A Performance Exploration of Architectural Options for a Middleware for Decentralised Lightweight Edge Cloud Architectures, " IoTBDS, pp. 73-84, 2018.
P. Jamshidi, C. Pahl, N.C. Mendonca, J. Lewis, and S. Tilkov, "Microservices: The journey so far and challenges ahead, " IEEE Software 35 (3), 24-35, 2018.
ISDW Group, "IEEE Standard Classification for Software Anomalies, " pp. 1-23, 2010.
H. Lawrence, G. H. Dinh, A. Williams, and B. Ball, "Container Monitoring and Management, " 2018.
C. Pahl, P. Jamshidi, and O. Zimmermann, "Architectural principles for cloud software, " ACM Transactions on Internet Technology (TOIT) 18 (2), 17, 2018.
S. Taherizadeh, V. Stankovski, and M. Grobelnik, "A capillary computing architecture for dynamic internet of things: Orchestration of microservices from edge devices to fog and cloud providers, " Sensors (Switzerland), vol. 18, no. 9, 2018.
A. Samir and C. Pahl, "Anomaly Detection and Analysis for Clustered Cloud Computing Reliability, " in Intl Conf on Cloud Computing, Grids, and Virtualization, 2019.
A. Samir and C. Pahl, "A Controller Architecture for Anomaly Detection, Root Cause Analysis and Self-Adaptation for Cluster Architectures", in Intl Conf Adaptive and Self-Adaptive Systems and Applications, 2019.
N. Ge, S. Nakajima, and M. Pantel, "Online diagnosis of accidental faults for real-time embedded systems using a hidden markov model, " Simulation, vol. 91, no. 19, pp. 851-868, 2015.
G. Brogi, "Real-time detection of advanced persistent threats using information flow tracking and hidden markov, " Doctoral dissertation, 2018.
A. Samir and C. Pahl, "Detecting and Predicting Anomalies for Edge Cluster Environments using Hidden Markov Models, ", Intl Conf Fog & Mobile Edge Comp, 2019.
L. Tong, Y. Li, and W. Gao, "A hierarchical edge cloud architecture for mobile computing, " in Proceedings-IEEE INFOCOM, vol. 2016-July, 2016.
P. Jamshidi, A.M. Sharifloo, C. Pahl, A. Metzger, G. Estrada, "Self-learning cloud controllers: Fuzzy qlearning for knowledge evolution, " International Conference on Cloud and Autonomic Computing, 2015.
P. Jamshidi, A. Sharifloo, C. Pahl, H. Arabnejad, A. Metzger, G. Estrada, "Fuzzy self-learning controllers for elasticity management in dynamic cloud architectures, " Intl Conf on Quality of Software Architectures, 2016.
N. Jayapandian, R. Menagadevi, S. Abinaya, O. S. Sampoorani, and A. M. J. Z. Rahman, "Dynamic Load Balancing Cluster and Fault-Tolerant In Cloud Environment, " May, 2017.
N. G. Bachiega, P. S. Souza, S. M. Bruschi, and S. D. R. De Souza, "Container-based performance evaluation: A survey and challenges, " in Proceedings-2018 IEEE International Conference on Cloud Engineering, IC2E 2018. IEEE, apr 2018, pp. 398-403.
C. Pahl and B. Lee, "Containers and Clusters for Edge Cloud Architectures-A Technology Review, " 2015 3rd International Conference on Future Internet of Things and Cloud, pp. 379-386, 2015.
A. La Rosa, "Docker monitoring: Challenges introduced by containers and microservices, " 2018.
D. Jurafsky and J. H. Martin, Speech and language processing: An introduction to natural language processing, computational linguistics, and speech recognition, 2nd ed. Prentice Hall, 2008.
A. Y. Nikravesh, S. A. Ajila, and C.-H. Lung, "Cloud Resource Auto-scaling System Based on Hidden Markov Model (HMM), " 2014 IEEE International Conference on Semantic Computing, no. Section III, pp. 124-127, 2014.
S. Fine, Y. Singer, and N. Tishby, "The hierarchical hidden markov model: Analysis and applications, " Machine Learning, vol. 32, no. 1, pp. 41-62, 1998.
H. Arabnejad, C. Pahl, P. Jamshidi, G. Estrada, "A comparison of reinforcement learning techniques for fuzzy cloud auto-scaling, " Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, 2017.