Paper Info
Title
Content placement in 5G-enabled edge/core data center networks resilient to link cut attacks.
Abstract
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.
Year
DOI
Venue
2020
10.1002/net.21930
NETWORKS
Keywords
DocType
Volume
content caching,content delivery network,content placement,critical link set detection,link cut,malicious attacks,network resilience,optical network
Journal
75.0
Issue
ISSN
Citations 
SP4.0
0028-3045
1
PageRank 
References 
Authors
0.36
0
4
Name
Order
Citations
PageRank
Carlos Natalino1137.26
Amaro de Sousa29517.84
Lena Wosinska341.79
Marija Furdek45413.96