Virtual Network Slice Planning

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Volume Title
School of Electrical Engineering | Doctoral thesis (article-based) | Defence date: 2019-04-04
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Author
Date
2019
Department
Tietoliikenne- ja tietoverkkotekniikan laitos
Department of Communications and Networking
Major/Subject
Mcode
Degree programme
Language
en
Pages
110 + app. 130
Series
Aalto University publication series DOCTORAL DISSERTATIONS, 48/2019
Abstract
The evolution towards 5G consists of managing highly dynamic network slices and making decisions related to the provisioning of resources in an as a service and cost-efficient fashion. The forthcoming 5G mobile system will rely essentially on cloud computing and network slicing. A network slice is defined as a chunk of virtual computing and connectivity resources configured and provisioned for a particular service, according to its characteristics and requirements. The success of cloud computing and network slicing hinges on the ongoing research activities relevant to the virtualization of mobile network functions, the efficient allocation of virtual resources (e.g. VCPU, VMDISK), and the optimal placement of Virtual Network Functions (VNFs), composing the network slices. In this vein, the aim of this dissertation, in the field of networking technology, is essentially centered on the design of a virtual network slice planning framework, allowing to efficiently place VNFs and satisfy the requirements of users and cloud service providers in terms of Quality of Service (QoS) and cost. To this end, the research questions are as follows: How to deploy efficiently the needed VNFs in order to fulfil service requests in a QoS-aware and cost-efficient manner? Is it possible to predict the behaviour of User Equipments (UEs)? How to cope with the non-uniform distribution of service requests? How to perform an integral slice planning of the EPC? The research questions are answered through experiments that entail: i) the development of a simulation tool dubbed ''Network Slice Planner", ii) the design of VNF placement algorithms, taking into consideration the predictability of service usage and the non-uniform distribution of service requests, iii) the abstraction of the Long Term Evolution (LTE) workload generation process, iv) the design of performance models of the whole LTE network, and v) the optimal placement of vEPC/5G Core virtual instances. On this basis, further research directions are identified and could be undertaken to advance the current state of knowledge on virtual network slice planning.
Description
Supervising professor
Taleb, Tarik, Prof., Aalto University, Department of Communications and Networking, Finland
Keywords
slice planning, cloud computing, network slicing, 5G
Other note
Parts
  • [Publication 1]: A. Laghrissi, T. Taleb, A Survey on the Placement of Virtual Resources and Virtual Network Functions. IEEE Communications Surveys and Tutorials, 2018, to appear. Full Text in Acris/Aaltodoc: http://urn.fi/URN:NBN:fi:aalto-201812106192.
    DOI: 10.1109/COMST.2018.2884835 View at publisher
  • [Publication 2]: A. Laghrissi, T. Taleb, M. Bagaa, H. Flinck, Towards Edge Slicing: VNF Placement Algorithms for a Dynamic & Realistic Edge Cloud Environment. In 2017 IEEE Global Communications Conference (GLOBECOM),Singapore, pp. 1-6, Dec 2017. Full Text in Acris/Aaltodoc: http://urn.fi/URN:NBN:fi:aalto-201809064959.DOI: 10.1109/GLOCOM.2017.8254653
  • [Publication 3]: A. Laghrissi, T. Taleb, M. Bagaa, Conformal Mapping for Optimal Network Slice Planning Based on Canonical Domains. IEEE Journal on Selected Areas in Communications, 2018, vol. 36, no. 3, pp. 519-528. Full Text in Acris/Aaltodoc: http://urn.fi/URN:NBN:fi:aalto-201808214674.
    DOI: 10.1109/WCNC.2018.8377336 View at publisher
  • [Publication 4]: A. Laghrissi, T. Taleb, M. Bagaa, Canonical Domains for Optimal Network Slice Planning. In 2018 IEEE Wireless Communications and Networking Conference (WCNC), Barcelona, Spain, pp. 1-6, Apr 2018. Full Text in Acris/Aaltodoc: http://urn.fi/URN:NBN:fi:aalto-201809064962.
    DOI: 10.1109/WCNC.2018.8377336 View at publisher
  • [Publication 5]: J. Prados-Garzon, A. Laghrissi, M. Bagaa, T. Taleb, J.M. Lopez-Soler, A Complete LTE Mathematical Framework for the Network Slice Planning of the EPC. IEEE Transactions on Mobile Computing, 2018, to appear. Full Text in Acris/Aaltodoc: http://urn.fi/URN:NBN:fi:aalto-201902251919.DOI: 10.1109/TMC.2018.2890235
  • [Publication 6]: M. Bagaa, T. Taleb, A. Laghrissi, A. Ksentini, H. Flinck, Coalitional Game for the Creation of Efficient Virtual Core Network Slices in 5G Mobile Systems. IEEE Journal on Selected Areas in Communications, 2018, vol. 36, no. 3, pp. 469-484, Mar 2018. Full Text in Acris/Aaltodoc: http://urn.fi/URN:NBN:fi:aalto-201808214613.
    DOI: 10.1109/JSAC.2018.2815398 View at publisher
  • [Publication 7]: M. Bagaa, T. Taleb, A. Laghrissi, A. Ksentini, Efficient virtual evolved packet core deployment across multiple cloud domains, 2018 IEEE Wireless Communications and Networking Conference (WCNC), Barcelona, Spain, pp. 1-6, Apr 2018. Full Text in Acris/Aaltodoc: http://urn.fi/URN:NBN:fi:aalto-201809064968.DOI: 10.1109/WCNC.2018.8377297
  • [Publication 8]: H. Hantouti, N. Benamar, T. Taleb, A. Laghrissi, Traffic Steering for Service Function Chaining. IEEE Communications Surveys and Tutorials, 2018, to appear.
    DOI: 10.1109/COMST.2018.2862404 View at publisher
Citation
Permanent link to this item
https://urn.fi/URN:ISBN:978-952-60-8464-0
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[diss] Sähkötekniikan korkeakoulu / ELEC