Disaster-survivable cloud-network mapping

Carlos Colman-Meixner*, Ferhat Dikbiyik, M. Farhan Habib, Massimo Tornatore, Chen Nee Chuah, Biswanath Mukherjee

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)

18 Citations (Scopus)

Abstract

Cloud-computing services are provided to consumers through a network of servers and network equipment. Cloud-network (CN) providers virtualize resources [e.g., virtual machine (VM) and virtual network (VN)] for efficient and secure resource allocation. Disasters are one of the worst threats for CNs as they can causemassive disruptions andCN disconnection. A disaster may also induce post-disaster correlated, cascading failures which can disconnect more CNs. Survivable virtual-network embedding (SVNE) approaches have been studied to protect VNs against single physicallink/- node and dual physical-link failures in communication infrastructure, but massive disruptions due to a disaster and their consequences can make SVNE approaches insufficient to guarantee cloud-computing survivability. In this work, we study the problem of survivable CN mapping from disaster. We consider risk assessment, VM backup location, and post-disaster survivability to reduce the risk of failure and probability of CN disconnection and the penalty paid by operators due to loss of capacity.We formulate the proposed approach as an integer linear program and study two scenarios: a natural disaster, e.g., earthquake and a human-made disaster, e.g., weapons-of-mass-destruction attack. Our illustrative examples show that our approach reduces the risk of CN disconnection and penalty up to 90% compared with a baseline CNmapping approach and increases the CN survivability up to 100% in both scenarios.

Original languageEnglish
Pages (from-to)141-153
Number of pages13
JournalPhotonic Network Communications
Volume27
Issue number3
DOIs
Publication statusPublished - Jun 2014

Keywords

  • Cloud computing
  • Cloud-network mapping
  • Disaster survivability
  • Virtual machine
  • Virtual-network mapping

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