Journal
2017 3RD INTERNATIONAL CONFERENCE ON BIG DATA COMPUTING AND COMMUNICATIONS (BIGCOM)
Volume -, Issue -, Pages 422-430Publisher
IEEE
DOI: 10.1109/BIGCOM.2017.40
Keywords
auto-scaling; cloud computing; container; elasticity
Funding
- NSFC [61572324]
- High-Tech Research and Development Program of China [2015AA01A202]
- Shanghai Talent Development Fund
- Morgan Stanley
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Mechanisms for automatic resource provisioning in cloud environment have been widely studied. However, most current work are based on Virtual Machines(VMs) and few auto-scaling systems dedicated for containerized environment have been presented. This paper proposes an auto-scaler that caters for containerized elastic applications. We devise a hybrid scaling strategy based on a resource demand prediction model to meet Service Level Agreements(SLAs) in face of quickly varying workloads. We implemented our system in a private container-centric cloud environment and experimental results demonstrate that our auto-scaling framework outperforms existing rule-based approaches.
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