Resource orchestration strategies with retrials for latency-sensitive network slicing over distributed telco clouds

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dc.contributor.author Gharbaoui, M.
dc.contributor.author Martini, Barbara
dc.contributor.author Cecchetti, G.
dc.contributor.author Castoldi, P.
dc.date.accessioned 2022-02-10T11:56:09Z
dc.date.available 2022-02-10T11:56:09Z
dc.date.issued 2021-09-23
dc.identifier.bibliographicCitation Gharbaoui, M., Martini, B., Cecchetti, G. & Castoldi, P. (2021). Resource Orchestration Strategies With Retrials for Latency-Sensitive Network Slicing Over Distributed Telco Clouds. IEEE Access, 9, 132801–132817.
dc.identifier.issn 2169-3536
dc.identifier.uri http://hdl.handle.net/10016/34094
dc.description.abstract The new radio technologies (i.e. 5G and beyond) will allow a new generation of innovative services operated by vertical industries (e.g. robotic cloud, autonomous vehicles, etc.) with more stringent QoS requirements, especially in terms of end-to-end latency. Other technological changes, such as Network Function Virtualization (NFV) and Software-Defined Networking (SDN), will bring unique service capabilities to networks by enabling flexible network slicing that can be tailored to the needs of vertical services. However, effective orchestration strategies need to be put in place to offer latency minimization while also maximizing resource utilization for telco providers to address vertical requirements and increase their revenue. Looking at this objective, this paper addresses a latency-sensitive orchestration problem by proposing different strategies for the coordinated selection of virtual resources (network, computational, and storage resources) in distributed DCs while meeting vertical requirements (e.g., bandwidth demand) for network slicing. Three orchestration strategies are presented to minimize latency or the blocking probability through effective resource utilization. To further reduce the slice request blocking, orchestration strategies also encompass a retrial mechanism applied to rejected slice requests. Regarding latency, two components were considered, namely processing and network latency. An extensive set of simulations was carried out over a wide and composite telco cloud infrastructure in which different types of data centers coexist characterized by a different network location, size, and processing capacity. The results compare the behavior of the strategies in addressing latency minimization and service request fulfillment, also considering the impact of the retrial mechanism.
dc.description.sponsorship This work was supported in part by the Department of Excellence in Robotics and Artificial Intelligence by Ministero dell’Istruzione, dell’Università e della Ricerca (MIUR) to Scuola Superiore Sant’Anna, and in part by the Project 5GROWTH under Agreement 856709.
dc.format.extent 17
dc.language.iso eng
dc.publisher IEEE
dc.rights © The authors, 2021. This work is licensed under a Creative Commons Attribution 4.0 License.
dc.rights Atribución 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by/3.0/es/
dc.subject.other Cloud
dc.subject.other Distributed data centers
dc.subject.other NFV
dc.subject.other Retrial
dc.subject.other SDN
dc.subject.other Virtual network function
dc.title Resource orchestration strategies with retrials for latency-sensitive network slicing over distributed telco clouds
dc.type article
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1109/ACCESS.2021.3115173
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/856709
dc.type.version publishedVersion
dc.identifier.publicationfirstpage 132801
dc.identifier.publicationlastpage 132817
dc.identifier.publicationtitle IEEE Access
dc.identifier.publicationvolume 9
dc.contributor.funder European Commission
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