Model-Driven Policy Framework for Data Centers

Cosmin Marius Caba, Angelos Mimidis Kentis, José Soler

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Data Centers (DCs) continue to become increasingly complex, due to comprising multiple functional entities (e.g. routing, orchestration). Managing the multitude of interconnected components in the DC becomes difficult and error prone, leading to slow service provisioning, lack of QoS support, etc. Moreover, the lack of simple solutions for managing the configuration and behavior of the DC components makes the DC hard to configure and slow in adapting to changes in business needs. In this paper, we propose a model-driven framework for policy-based management for DCs, to simplify not only the service provisioning but also the configuration management of the various DC components. The implemented prototype is presented and a series of tests are performed to assess its performance and to gain key insights about policy based management.
Original languageEnglish
Title of host publicationProceedings of 2016 5th IEEE International Conference on Cloud Networking
Number of pages4
PublisherIEEE
Publication date2016
Pages126-129
ISBN (Print)978-1-5090-5093-2
DOIs
Publication statusPublished - 2016
Event5th IEEE International Conference on Cloud Networking - Pisa, Italy
Duration: 3 Oct 20165 Oct 2016

Conference

Conference5th IEEE International Conference on Cloud Networking
CountryItaly
CityPisa
Period03/10/201605/10/2016

Keywords

  • Data center
  • Policy based management
  • SDN
  • Model driven architecture
  • OpenDaylight

Activities

  • 1 Participating in or organising a conference

5th IEEE International Conference on Cloud Networking

Angelos Mimidis Kentis (Participant)

Oct 2016

Activity: Attending an eventParticipating in or organising a conference

Cite this

Caba, C. M., Kentis, A. M., & Soler, J. (2016). Model-Driven Policy Framework for Data Centers. In Proceedings of 2016 5th IEEE International Conference on Cloud Networking (pp. 126-129). IEEE. https://doi.org/10.1109/CloudNet.2016.29