Quality-driven optimal SLA selection for enterprise cloud communications

P A Frangoudis, A Sgora, Martin Varela, G Rubino

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

1 Citation (Scopus)

Abstract

With the availability of cloud computing infrastructures, migrating business-critical functionality to public clouds is becoming commonplace. Cloud providers typically offer a variety of computing capabilities and pricing options. Therefore, the problem of selecting the ones that suit enterprise needs becomes critical. Our major focus is on the migration of enterprise communication services, such as IP-telephony, to the cloud. We design a tool to assist in optimally deciding among the set of available hosting and network connectivity Service-Level Agreements (SLAs) under Quality-of-Experience (QoE) and budget constraints. In particular, we propose a multi-objective optimization framework making use of application-specific QoE estimation tools to tackle with the conflicting objectives of price and quality and demonstrate its application to a cloud-based teleconferencing service as a case study
Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationIEEE International Conference on Communications Workshops, ICC 2014
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages545-550
ISBN (Print)978-147994640-2
DOIs
Publication statusPublished - 2014
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Communications Workshops, ICC 2014 - Sydney, NSW, Australia
Duration: 10 Jun 201414 Jun 2014

Conference

ConferenceIEEE International Conference on Communications Workshops, ICC 2014
CountryAustralia
CitySydney, NSW
Period10/06/1414/06/14

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Frangoudis, P. A., Sgora, A., Varela, M., & Rubino, G. (2014). Quality-driven optimal SLA selection for enterprise cloud communications. In Proceedings: IEEE International Conference on Communications Workshops, ICC 2014 (pp. 545-550). IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/ICCW.2014.6881255