In Virtual Machine (VM) based clouds, the power consumption of a group of virtual machines running on servers, can be measured using some methods such as Dynamic Voltage and Frequency Scaling (DVFS) technique.
On the other hand, in Container-Based clouds, containers are running on top of operating systems.
What methods and techniques are available for measuring and evaluating the power consumption of a group of containers or even a single container?
Thanks
Dear,
There are some major differences between in Container and VM.
1- Container is more lightweight than a VM because container includes only the executable and its dependencies and different containers on the same machine share the same OS. While a VM contains a full set of OS, and different VMs do not share the OS. A VM can run an OS that is different from its host machine, while the container needs to use the same OS as the host.
2- Each VM has its own image file, while different containers may share some of their images. More specifically, container images are created in a layered manner, in which a new image can be created upon an existing image by adding another layer that contains the difference between the two. The image files of different VMs are isolated from each other.
At the end I can say that power consumption of the cloud is directly dependent on the cloud resources utilization, even you can use different type of model to estimate power consumption such as Linear model, Regression model, DQN model etc. So, container based cloud consume less power than the traditional one.
To evaluate Power Consumption in Container-Based Clouds are
Container orchestration engines enable provisioning of host resources to containers, assigning containers to hosts, instantiate and reschedule containers. With containers, service providers can realise successful implementation of DevOps methodologies, allowing ease in automation tasks like scaling, upgrading, healing, and become resilient.
A major benefit of containerised microservices is the ability to orchestrate the containers so that separate lifecycle management processes can be applied to each service. This allows for each service to be versioned and upgraded singularly, as opposed to upgrading the entire VNF in virtual machine. While upgrading a whole application or VNF, a container scheduler determines which individual services have changed and deploys only those specific services.
Containers enable cloud-native ability into NFV infrastructure with added performance, portability and agility benefits, for telecom-specific application deployment and orchestration.
Dear Rahul Yadav,
Thank you for your great answer, but I wanted to know if there's any technique available for measuring and controlling the power consumption of each container.
Dear,
DAVF is also a one of kind of model to measure or estimate power consumption. So, other models also capable to measure or estimate power consumption.
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