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Content Accessibility in Optical Cloud Networks Under Targeted Link Cuts
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Optical Network Laboratory (ON Lab).ORCID iD: 0000-0001-7501-5547
Istanbul University of Technology.
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Optical Network Laboratory (ON Lab).ORCID iD: 0000-0001-6704-6554
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Optical Network Laboratory (ON Lab).ORCID iD: 0000-0001-5600-3700
2017 (English)In: 2017 21st International Conference on Optical Network Design and Modeling, ONDM 2017 - Conference Proceedings, Institute of Electrical and Electronics Engineers (IEEE), 2017, 7958546Conference paper, Published paper (Refereed)
Abstract [en]

One of the key enablers of the digital society is a highly reliable information infrastructure that can ensure resiliency to a wide range of failures and attacks. In cloud networks, replicas of various content are located at geographically distributed data centers, thus inherently enhancing cloud network reliability through diversification and redundancy of user accessibility to the content. However, cloud networks rely on optical network infrastructure which can be a target of deliberate link cuts that may cause service disruption on a massive scale. This paper investigates the dependency between the extent of damage caused by link cuts and a particular replica placement solution, as a fundamental prerequisite of resilient cloud network design that lacks systematic theoretical quantification and understanding. To quantify the vulnerability of optical cloud networks based on anycast communication to targeted link cuts, we propose a new metric called Average Content Accessibility (ACA). Using this metric, we analyze the impact of the number and the placement of content replicas on cloud network resiliency and identify the best and the worst case scenarios for networks of different sizes and connectivity. We evaluate the efficiency of simultaneous and sequential targeted link cuts, the latter reassessing link criticality between subsequent cuts to maximize disruption. Comparison with Average Two-Terminal Reliability (A2TR), an existing robustness measure for unicast networks, shows great discrepancy in the vulnerability results, indicating the need for new measures tailored to anycast-based networks.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. 7958546
National Category
Communication Systems
Research subject
Information and Communication Technology
Identifiers
URN: urn:nbn:se:kth:diva-207748ISI: 000413083200028Scopus ID: 2-s2.0-85025615363ISBN: 9783901882937 OAI: oai:DiVA.org:kth-207748DiVA: diva2:1097907
Conference
21st International Conference on Optical Network Design and Modeling, ONDM 2017, Budapest, Hungary, 15 May 2017 through 17 May 2017
Note

QC 20170529

Available from: 2017-05-23 Created: 2017-05-23 Last updated: 2017-11-06Bibliographically approved

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Scopushttp://www.ondm2017.hte.hu/

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da Silva, Carlos NatalinoWosinska, LenaFurdek, Marija
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