Graduate School and Research Center in Digital Sciences

QoE-aware computing resource allocation for CDN-as-a-service provision

Yala, Louiza; Frangoudis, Pantelis A.; Ksentini, Adlen

GLOBECOM 2016, IEEE Global Communications Conference, Exhibition and Industry Forum, 4-8 December 2016, Washington, USA

We focus on the provision of Content-Delivery-Network-as-a-Service (CDNaaS) functionality for video distribution and, in particular, on how to appropriately decide on the amount of computing resources to allocate to a CDNaaS instance to satisfy Quality of Experience (QoE) and resource capacity constraints. Our work is put in the context of a telco cloud environment: The telco cloud is open to content provides to request the dynamic deployment of a virtual CDN infrastructure on top of it, in order to cover a target user demand with a desired service quality at the regions where the telecom operator has presence. We perform testbed experiments to quantify the dependence of user experience on the load of a virtualized video service, and apply our measurement results to drive a QoE-aware virtual CPU resource allocation algorithm. Using simulation, we show our algorithm to optimally address the quality-cost tradeoff, demonstrating the benefits of QoE awareness.

Document Doi Bibtex

Title:QoE-aware computing resource allocation for CDN-as-a-service provision
Department:Communication systems
Eurecom ref:5068
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Bibtex: @inproceedings{EURECOM+5068, doi = {}, year = {2016}, title = {{Q}o{E}-aware computing resource allocation for {CDN}-as-a-service provision}, author = {{Y}ala, {L}ouiza and {F}rangoudis, {P}antelis {A}. and {K}sentini, {A}dlen}, booktitle = {{GLOBECOM} 2016, {IEEE} {G}lobal {C}ommunications {C}onference, {E}xhibition and {I}ndustry {F}orum, 4-8 {D}ecember 2016, {W}ashington, {USA}}, address = {{W}ashington, {UNITED} {STATES}}, month = {12}, url = {} }
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