Provisioning Performance of Cloud Microservice Platforms
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This document summarizes research on the provisioning performance of cloud microservice platforms. It first discusses containers and microservices, and how containers provide lightweight virtualization compared to VMs. It then presents a performance model for analyzing a microservice platform running on top of a macroservice infrastructure like IaaS. The document outlines experiments conducted using a prototype microservice platform on Docker, Swarm and Composer, and measuring parameters on cloud platforms. Preliminary results are referenced, with plans to submit a further journal publication.
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All the content of this website is informative and non-commercial, does not imply a commitment to develop, launch or schedule delivery of any feature or functionality, should not rely on it in making decisions, incorporate or take it as a reference in a contract or academic matters. Likewise, the use, distribution and reproduction by any means, in whole or in part, without the authorization of the author and / or third-party copyright holders, as applicable, is prohibited.
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- 1. Provisioning Performance of Cloud Microservice Platforms Hamzeh Khazaei, Cornel Barna, Nasim Beigi-Mohammadi and Marin Litoiu University of Toronto and York University hamzeh.khazaei@utoronot.ca Oct 30, 2016
- 2. Agenda • VM and containers • Containers and microservices • Microservice on top of macroservices • Interactive layered performance model and experiments • Preliminary results • References Oct 30, 2016 CSER- 2016 2
- 3. VMs and Containers • Virtual Machines (VM) are a widely used building block of workload management and deployment. • VMs are quite mature and provide good performance and security isolation. • However, for applications that require higher flexibility at runtime and less isolation, hypervisor based virtualization might not satisfy the entire set of quality of service (QoS) requirements. • A container runs on a kernel with similar performance isolation and allocation characteristics as VMs but without the expensive VM runtime management overhead. Oct 30, 2016 CSER- 2016 3
- 4. Containers and Microservices • Containerized microservices are being leveraged by many software service providers for a number of reasons: – Lightweight – Fast start-up – Improved scalability and portability – Reduced management overhead – Enhanced reliability – Consistent operating environment for development, testing, and deployment (better DevOps) – Improved continues integration and delivery – Higher utilization of resourcesOct 30, 2016 CSER- 2016 4
- 5. Containers on top of VMs • A flexible computing model combines Infrastructures-a-Service (IaaS) with container based Platform-as-a- Service (PaaS). • Nirmata, Docker Cloud, Kubernetes and others • There is a concern here, however? Oct 30, 2016 CSER- 2016 5
- 6. Microservice Platform on top of IaaS Oct 30, 2016 CSER- 2016 6
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- 9. • We implement a MSP from scratch in Java using Docker engine, Swarm and Composer. • Leverage it to estimate measured parameters including provisioning and deprovisioning of containers and VMs on both SAVI and Amazon EC2. Experiment 9
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Editor's Notes
- Comparison of native deployment, VM deployment, native Docker and VM Docker of applications. The way and time an application can provision and deprovision resources determines the service response time and availability. So we decided to study the provisioning performance of microservices under this configuration.