Dynamic Resource Allocation Algorithm for Container-Based Service Computing

Cloud computing and virtualization technologies play important roles in modern service-oriented computing paradigm. More conventional services are being migrated to virtualized computing environments to achieve flexible deployment and high availability. We introduce a schedule algorithm based on fuz...

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Bibliographic Details
Published in:	Proceedings 2017 IEEE 13th International Symposium on Autonomous Decentralized Systems : 22-24 March 2017, Bangkok, Thailand pp. 61 - 67
Main Authors:	Ye Tao, Xiaodong Wang, Xiaowei Xu, Yinong Chen
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.03.2017
Subjects:	Cloud computing Container-as-a-Servcie Containers Fuzzy Inference System Fuzzy logic Heuristic algorithms Inference algorithms Resource management Service-oriented Computing Virtualization
Online Access:	Get full text
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Summary:	Cloud computing and virtualization technologies play important roles in modern service-oriented computing paradigm. More conventional services are being migrated to virtualized computing environments to achieve flexible deployment and high availability. We introduce a schedule algorithm based on fuzzy inference system (FIS), for global container resource allocation by evaluating nodes' statuses using FIS. We present the approaches to build containerized test environment and validates the effectiveness of the resource allocation policies by running sample use cases. Experiment results show that the presented infrastructure and schema derive optimal resource configurations and significantly improves the performance of the cluster.
DOI:	10.1109/ISADS.2017.20