Content placement in 5G‐enabled edge/core datacenter networks resilient to link cut attacks
Journal article, 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.

malicious attacks

content delivery network

critical link set detection

optical network

content cashing

network resilience

Author

Carlos Natalino Da Silva

Chalmers, Electrical Engineering, Communication and Antenna Systems, Optical Networks

Amaro de Sousa

University of Aveiro

Lena Wosinska

Chalmers, Electrical Engineering, Communication and Antenna Systems, Optical Networks

Marija Furdek Prekratic

Chalmers, Electrical Engineering, Communication and Antenna Systems, Optical Networks

Networks

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

Vol. In press NET-20-0010

Areas of Advance

Information and Communication Technology

Infrastructure

C3SE (Chalmers Centre for Computational Science and Engineering)

Subject Categories

Computer Science

Computer Systems

Discrete Mathematics

DOI

10.1002/net.21930

More information

Latest update

2/27/2020