Microservice Aging and Rejuvenation

Due to 'aging', not only the service rate of the software decreases with time but the software itself experiences occasional crash/hang failures. Software rejuvenation involves occasional stopping the executing software, 'cleaning' the 'internal state' and restarting. M...

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Bibliographic Details
Published in2020 World Conference on Computing and Communication Technologies (WCCCT) pp. 1 - 5
Main Authors Yue, Jing, Wu, Xiaojun, Xue, Yunqing
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2020
Subjects
Aging
availability
Computer architecture
container
Containers
Deep learning
microservice
Microservice architectures
rejuvenation
Software
Virtual machining
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Summary:Due to 'aging', not only the service rate of the software decreases with time but the software itself experiences occasional crash/hang failures. Software rejuvenation involves occasional stopping the executing software, 'cleaning' the 'internal state' and restarting. Moreover, container technology promotes the process of fair and efficient allocation of physical resources among virtual machines. However, the emergence of distributed cloud platform undoubtedly increase the flexibility and complexity of the system. In this paper, we propose a method of predicting microservice [1] aging by deep learning, and a rejuvenation policy by the CVA architecture. From the perspective of container, it can provide a technology of vertical expansion and contraction of container resources, improve the utilization of resources in the clustered environment, and improve the availability of microservice system.
DOI:10.1109/WCCCT49810.2020.9170005