Optimal resource allocation for disaster recovery

Andrea Bianco*, Luca Giraudo, David Hay

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

20 Scopus citations

Abstract

Two key elements in disaster recovery are backing up data at remote sites and reliability of services by virtualization. To support operational services and to speed up recovery process, resources should be distributed fairly and efficiently. Thus, we discuss resource allocation algorithms to support remote data storage and live virtual machines (VMs) migration. We identify two opposing forces: on the one hand, backup data should be stored as close as possible to the original site to guarantee high access speed and to minimize network load. On the other hand, upon a site failure, VM migration should minimize the impact of resuming VMs on other sites, to protect application performance and to reduce VM restoring time. We present optimal algorithms trading-off these two contrasting goals, and we compare their performance for different network topologies and resource distributions among sites.

Original languageAmerican English
Title of host publication2010 IEEE Global Telecommunications Conference, GLOBECOM 2010
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781424456383
DOIs
StatePublished - 2010
Externally publishedYes
Event53rd IEEE Global Communications Conference, GLOBECOM 2010 - Miami, FL, United States
Duration: 6 Dec 201010 Dec 2010

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference

Conference

Conference53rd IEEE Global Communications Conference, GLOBECOM 2010
Country/TerritoryUnited States
CityMiami, FL
Period6/12/1010/12/10

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