eprintid: 10084766
rev_number: 16
eprint_status: archive
userid: 608
dir: disk0/10/08/47/66
datestamp: 2019-10-31 17:37:08
lastmod: 2021-10-18 22:43:41
status_changed: 2019-10-31 17:37:08
type: proceedings_section
metadata_visibility: show
creators_name: Maciel, PD
creators_name: Verdi, FL
creators_name: Valsamas, P
creators_name: Sakellariou, I
creators_name: Mamatas, L
creators_name: Petridou, S
creators_name: Papadimitriou, P
creators_name: Moura, D
creators_name: Swapna, AI
creators_name: Pinheiro, B
creators_name: Clayman, S
title: A Marketplace-based Approach to Cloud Network Slice Composition Across Multiple Domains
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
divisions: F46
keywords: Cloud computing, 5G mobile communication, Network slicing, Dynamic scheduling, Monitoring, Computer architecture, Industries, Cloud Network Slicing, Slice-as-a-Service, Slice Resource Discovery, Marketplace
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: Cloud network slicing can be defined as the process that enables isolated end-to-end and on-demand networking abstractions, which: (a) contain both cloud and network resources, and (b) are independently controlled, managed and orchestrated. This paper contributes to the vision of the NECOS project and relevant platform, that aim to address the limitations of current cloud computing infrastructures to accomplish the challenging requirements of the slicing approach. The NECOS platform implements the Slice-as-a-Service model, enabling the dynamic creation of end-to-end (E2E) slices from a set of constituent slice parts contributed from multiple domains. A challenging issue is to define the facility that implements dynamic slice resource discovery, aligned to the requirements of the slice owner or tenant, over different infrastructure providers. Here, we propose a Marketplace-based approach implementing relevant federated interactions for the resource discovery and we detail its architecture, workflows, and information model. We also present its initial implementation details and provide both quantitative and qualitative experimental results validating its main operation.
date: 2019-08-22
date_type: published
publisher: IEEE
official_url: https://doi.org/10.1109/NETSOFT.2019.8806668
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1697520
doi: 10.1109/NETSOFT.2019.8806668
isbn_13: 978-1-5386-9376-6
lyricists_name: Clayman, Stuart
lyricists_id: SCLAY98
actors_name: Clayman, Stuart
actors_id: SCLAY98
actors_role: owner
full_text_status: public
series: IEEE Conference on Network Softwarization (NetSoft)
publication: Proceedings of the 2019 IEEE Conference on Network Softwarization: Unleashing the Power of Network Softwarization, NetSoft 2019
volume: 2019
place_of_pub: Paris, France
pagerange: 480-488
event_title: 2019 IEEE Conference on Network Softwarization (NetSoft)
book_title: Proceedings of the 2019 IEEE Conference on Network Softwarization (NetSoft)
citation:        Maciel, PD;    Verdi, FL;    Valsamas, P;    Sakellariou, I;    Mamatas, L;    Petridou, S;    Papadimitriou, P;                 ... Clayman, S; + view all <#>        Maciel, PD;  Verdi, FL;  Valsamas, P;  Sakellariou, I;  Mamatas, L;  Petridou, S;  Papadimitriou, P;  Moura, D;  Swapna, AI;  Pinheiro, B;  Clayman, S;   - view fewer <#>    (2019)    A Marketplace-based Approach to Cloud Network Slice Composition Across Multiple Domains.                     In:  Proceedings of the 2019 IEEE Conference on Network Softwarization (NetSoft).  (pp. pp. 480-488).  IEEE: Paris, France.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10084766/1/marketplace.pdf