Please use this identifier to cite or link to this item:
Title: MESON: Optimized Cross-Slice Communication for Edge Computing
Authors: Papathanail, George
Pentelas, Angelos
Fotoglou, Ioakeim
Papadimitriou, Panagiotis
Katsaros, Konstantinos V.
Theodorou, Vasileios
Soursos, Sergios
Spatharakis, Dimitrios
Dimolitsas, Ioannis
Avgeris, Marios
Dechouniotis, Dimitrios
Papavassiliou, Symeon
Type: Article
Subjects: FRASCATI::Engineering and technology
Keywords: Cloud Computing
Edge computing
Computer architecture
Network slicing
Data centers
5G mobile communication
Web services
mobile computing
Issue Date: Oct-2020
Source: IEEE Communications Magazine
Volume: 58
Issue: 10
First Page: 23
Last Page: 28
Abstract: Network slicing is set out to address crucial needs of 5G, including support for multi-service provisioning. Focusing on resource and performance isolation, as well as security concerns associated with multi-tenancy, existing management and orchestration (MANO) frameworks typically offer network slices in the form of isolated bundles of computing, storage, and network resources across the network infrastructure, including the edge. However, network slice instantiation in its prevailing form raises significant concerns related to performance and resource utilization, hindering potential business-to-business (B2B) synergies. In this article, we discuss a new aspect of network slicing, optimized cross-slice communication (CSC). We argue that multi-tenancy and service co-location open up unique opportunities for B2B interactions, inter-service communications, and service composition, especially in the domain of edge computing and location-based services. In this context, we present optimized edge slice orchestration (MESON), a MANO-based architecture for optimized CSC in edge clouds. We discuss the main architecture components and descriptors, as well as the steps required for the discovery of CSC-enabled services and the establishment of optimized CSC among co-located slices.
ISSN: 0163-6804
Other Identifiers: 10.1109/MCOM.001.2000207
Appears in Collections:Department of Applied Informatics

Files in This Item:
File Description SizeFormat 
IEEE_Communication_magazine.pdfPaper466,37 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.