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Conference paper Open Access

Large distributed virtual infrastructure partitioning and provisioning across providers

Zhou, Huan; Shi, Zeshun; Hu, Yang; Donkers, Pieter; Afanasyev, Andrey; Koulouzis, Spiros; Taal, Arie; Ulisses, Alexandre; Zhao, Zhiming

Cloud environments provide elastic capacity and

flexible pay-as-you-go business model, and can significantly

reduce the operational cost for resource-intensive applications

like big data, deep learning and the Internet of Things (IoT).

The virtual infrastructure, including networked virtual machines,

for large scale applications, is often distributed, and involve

resources not only from data centers, but also distributed Fog

and Edge nodes. It is not always feasible to use resources all

from a single provider. The provisioning of a complex virtual

infrastructure requires dynamic partitioning of the topology

and seamless configuration of the network, to meet the latency

constraints of geolocation devices, to optimize the price and

Service Level Agreements of the application. In many cases,

the partition solution of a virtual infrastructure cannot be done

in the design phase and has to consider the actual resource

availability of providers at the provisioning stage. This paper

presents a virtual infrastructure partitioning and provisioning

solution with consideration of the QoS and resource constraints

from the application.

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