Conference paper Open Access
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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