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What is the minimum number of network adapter per VM needed to form a Kubernetes multi node cluster? 

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To overcome this problem, we first propose an initial virtual cluster allocation algorithm according to the VM characteristics to reduce the total network resource consumption and total energy consumption in the data center.
Currently, Kubernetes provides a naive dynamic resource-provisioning mechanism which only considers CPU utilization and thus is not effective.
Specifically, we propose the optimal VM allocation schemes for single-site cloud and multi-site cloud, respectively.
The results show that the proposed scheme successful achieve better results than TLPER and EADUC in energy consumption per node, end-to-end communication, hop count in cluster formation.
Results show that to optimize the total power consumption and footprint of the network, the architecture of each node has to be selected according to the amount and pattern of the add/drop and regenerated traffic and the number of pairs of fibers convergent to the node.
Proceedings ArticleDOI
Lei Yu, Zhipeng Cai 
10 Apr 2016
47 Citations
We also point out the case that a virtual cluster cannot be scaled without changing its original VM placement, and propose an optimal allocation algorithm that exploits the VM migration to address this issue while minimizing the total migration cost for the virtual cluster scaling.
Our model is characterised using real data from a Kubernetes deployment, and can be used as a basis to design scalable applications that make use of Kubernetes.

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