Content placement in 5G‐enabled edge/core datacenter networks resilient to link cut attacks
Artikel i vetenskaplig tidskrift, 2020

High throughput, resilience, and low latency requirements drive the development of 5G‐enabled content delivery networks (CDNs) which combine core data centers (cDCs) with edge data centers (eDCs) that cache the most popular content closer to the end users for traffic load and latency reduction. Deployed over the existing optical network infrastructure, CDNs are vulnerable to link cut attacks aimed at disrupting the overlay services. Planning a CDN to balance the stringent service requirements and increase resilience to attacks in a cost‐efficient way entails solving the content placement problem (CPP) across the cDCs and eDCs. This article proposes a framework for finding Pareto‐optimal solutions with minimal user‐to‐content distance and maximal robustness to targeted link cuts, under a defined budget. We formulate two optimization problems as integer linear programming (ILP) models. The first, denoted as K‐best CPP with minimal distance (K‐CPP‐minD), identifies the eDC/cDC placement solutions with minimal user‐to‐content distance. The second performs critical link set detection to evaluate the resilience of the K‐CPP‐minD solutions to targeted fiber cuts. Extensive simulations verify that the eDC/cDC selection obtained by our models improves network resilience to link cut attacks without adversely affecting the user‐to‐content distances or the core network traffic mitigation benefits.

network resilience

malicious attacks

critical link set detection

content cashing

optical network

content delivery network

Författare

Carlos Natalino Da Silva

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Amaro de Sousa

Universidade de Aveiro

Lena Wosinska

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Marija Furdek Prekratic

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Networks

0028-3045 (ISSN) 1097-0037 (eISSN)

Vol. 75 4 392-392 404

Styrkeområden

Informations- och kommunikationsteknik

Infrastruktur

C3SE (Chalmers Centre for Computational Science and Engineering)

Ämneskategorier

Datavetenskap (datalogi)

Datorsystem

Diskret matematik

DOI

10.1002/net.21930

Mer information

Senast uppdaterat

2022-04-06