Managing Chains of Application Functions over Multi-Technology Edge Networks

Akhtar, Nabeel; Matta, Ibrahim; Raza, Ali; Goratti, Leonardo; Braun, Torsten; Esposito, Flavio (8 January 2021). Managing Chains of Application Functions over Multi-Technology Edge Networks. In: IEEE Transactions on Network and Service Management, 2021 18 (pp. 511-525). IEEE 10.1109/TNSM.2021.3050009

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Next-generation networks are expected to provide higher data rates and ultra-low latency in support of demanding applications, such as virtual and augmented reality, robots and drones, etc. To meet these stringent requirements of applications, edge computing constitutes a central piece of the solution architecture wherein functional components of an application can be deployed over the edge network to reduce bandwidth demand over the core network while providing ultra-low latency communication to users. In this paper, we provide solutions to resource orchestration and management for applications over a virtualized client-edge-server infrastructure. We investigate the problem of optimal placement of pipelines of application functions (virtual service chains) and the steering of traffic through them, over a multi-technology edge network model consisting of both wired and wireless millimeter-wave (mmWave) links. This problem is NP-hard. We provide a comprehensive “microscopic” binary integer program to model the system, along with a heuristic that is one order of magnitude faster than optimally solving the problem. Extensive evaluations demonstrate the benefits of orchestrating virtual service chains (by distributing them over the edge network) compared to a baseline “middlebox” approach in terms of overall admissible virtual capacity. Moreover, we observe significant gains when deploying a small number of mmWave links that complement the Wire physical infrastructure in high node density networks.

Item Type:

Conference or Workshop Item (Paper)


08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS)
08 Faculty of Science > Institute of Computer Science (INF)

UniBE Contributor:

Braun, Torsten


000 Computer science, knowledge & systems
500 Science > 510 Mathematics






Dimitrios Xenakis

Date Deposited:

06 Jan 2021 16:45

Last Modified:

17 Sep 2021 12:36

Publisher DOI:


Uncontrolled Keywords:

Application Decomposition, Computer Network Management, Network Optimization, Softwarized Networks, Software-Defined Networking, Virtual Functions




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