Accelerating Platform Deployments in the Cloud: A qualitative assessment based on CORD

Angelos Mimidis Kentis; José Soler; Adam Broadbent; Paul  Veitch

doi:10.1109/SDS49854.2020.9143912

Accelerating Platform Deployments in the Cloud: A qualitative assessment based on CORD

Angelos Mimidis Kentis, José Soler, Adam Broadbent, Paul Veitch

British Telecom

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Abstract

Influenced by the success of cloudification of Information Technology (IT) services, 5th Generation (5G) networks are also expected to leverage the benefits of virtualization and network programmability. Doing so will provide the necessary level of automation and flexibility to meet the stringent requirements of 5G services. Multiple orchestration platforms, tailored towards Telco cloud-based deployments, have been released (e.g., CORD, OSM, OPFNV), which facilitate the integration of virtualization and network programmability. However, these platforms are complex software stacks, making their deployment a time-consuming and sometimes challenging task. This paper presents an investigation of possible deployment best practices using the CORD platform as a use-case. The results show a considerable reduction in deployment time (approximately 67%), without an increase in the complexity of the deployment process. Moreover, this paper includes a list of “lessons-learned” from using the CORD platform. These lessons will hopefully help improve future releases of CORD (and similar Telco cloud platforms).

Original language	English
Title of host publication	Proceedings of Seventh IEEE International Conference on Software Defined Systems
Number of pages	4
Publisher	IEEE
Publication date	2020
ISBN (Print)	978-1-7281-7220-0
DOIs	https://doi.org/10.1109/SDS49854.2020.9143912
Publication status	Published - 2020
Event	7th IEEE International Conference on Software Defined Systems - Campus Condorcet, Paris, France Duration: 20 Apr 2020 → 23 Apr 2020 Conference number: 7 http://emergingtechnet.org/SDS2020/index.php

Conference

Conference	7th IEEE International Conference on Software Defined Systems
Number	7
Location	Campus Condorcet
Country/Territory	France
City	Paris
Period	20/04/2020 → 23/04/2020
Internet address	http://emergingtechnet.org/SDS2020/index.php

Bibliographical note

© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Keywords

5G
Platform
KPIs
Deployment time
NFV
Cloudnative

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10.1109/SDS49854.2020.9143912

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title = "Accelerating Platform Deployments in the Cloud: A qualitative assessment based on CORD",

abstract = "Influenced by the success of cloudification of Information Technology (IT) services, 5th Generation (5G) networks are also expected to leverage the benefits of virtualization and network programmability. Doing so will provide the necessary level of automation and flexibility to meet the stringent requirements of 5G services. Multiple orchestration platforms, tailored towards Telco cloud-based deployments, have been released (e.g., CORD, OSM, OPFNV), which facilitate the integration of virtualization and network programmability. However, these platforms are complex software stacks, making their deployment a time-consuming and sometimes challenging task. This paper presents an investigation of possible deployment best practices using the CORD platform as a use-case. The results show a considerable reduction in deployment time (approximately 67%), without an increase in the complexity of the deployment process. Moreover, this paper includes a list of “lessons-learned” from using the CORD platform. These lessons will hopefully help improve future releases of CORD (and similar Telco cloud platforms). ",

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author = "Kentis, {Angelos Mimidis} and Jos{\'e} Soler and Adam Broadbent and Paul Veitch",

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KW - KPIs

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KW - NFV

KW - Cloudnative

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ER -

Accelerating Platform Deployments in the Cloud: A qualitative assessment based on CORD

Abstract

Conference

Bibliographical note

Keywords

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Cite this