Large distributed virtual infrastructure partitioning and provisioning across providers

Open Access
Authors
Publication date 2019
Book title 2019 IEEE International Conference on Smart Internet of Things
Book subtitle proceedings : 9-11 August 2019, Tianjin, China : IEEE SmartIoT 2019
ISBN
  • 9781728134895
ISBN (electronic)
  • 9781728134888
Event 3rd IEEE International Conference on Smart Internet of Things, SmartIoT 2019
Pages (from-to) 56-63
Number of pages 8
Publisher Los Alamitos, California: Conference Publishing Services, IEEE Computer Society
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
  • Faculty of Science (FNWI)
Abstract

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.

Document type Conference contribution
Note This work was supported by the European Unions Horizon 2020 research and innovation program under grant agreements No. 643963 (SWITCH project), No. 654182 (ENVRIPLUS project), No. 824068 (ENVRI-FAIR project) and No. 825134 (ARTICONF project).
Language English
Published at https://doi.org/10.1109/SmartIoT.2019.00018
Published at https://zenodo.org/record/3466678
Other links https://www.proceedings.com/51331.html https://www.scopus.com/pages/publications/85075640716
Downloads
2019.conference.smart-iot-camera (Accepted author manuscript)
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