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|BibTex-ID=lenk2013
 
|Title=Cloud Standby System and Quality Model
 
|Title=Cloud Standby System and Quality Model
 
|Year=2013
 
|Year=2013
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|Number=2
 
|Number=2
 
|Pages=48-59
 
|Pages=48-59
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|Publisher=Services Society
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|Address=New York, USA
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|Tags=Cloud Standby, Warm Standby, Disaster Recovery
 
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{{Publikation Details
 
{{Publikation Details
 
|Abstract=Contingency plans for disaster preparedness and concepts for resuming regular operation as quickly as possible have been an integral part of running a company for decades. Today, large portions of revenue generation are taking place over the Internet and it has to be ensured that the respective resources and processes are secured against disasters, too. Cloud-Standby-Systems are a way for replicating an IT infrastructure to the Cloud. In this work, the Cloud Standby approach and a Markov-based model is presented that can be used to analyze and configure Cloud Standby systems on a long term basis. It is shown that by using a Cloud-Standby-System the availability can be increased, how configuration parameters like the replication interval can be optimized, and that the model can be used for supporting the decision whether the infrastructure should be replicated or not.
 
|Abstract=Contingency plans for disaster preparedness and concepts for resuming regular operation as quickly as possible have been an integral part of running a company for decades. Today, large portions of revenue generation are taking place over the Internet and it has to be ensured that the respective resources and processes are secured against disasters, too. Cloud-Standby-Systems are a way for replicating an IT infrastructure to the Cloud. In this work, the Cloud Standby approach and a Markov-based model is presented that can be used to analyze and configure Cloud Standby systems on a long term basis. It is shown that by using a Cloud-Standby-System the availability can be increased, how configuration parameters like the replication interval can be optimized, and that the model can be used for supporting the decision whether the infrastructure should be replicated or not.
 
|ISSN=2326-7550
 
|ISSN=2326-7550
|Download=IJCC-Vol1-No2-2013-pp48-59-Lenk.pdf,  
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|Download=IJCC-Vol1-No2-2013-pp48-59-Lenk.pdf,
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|Link=http://www.hipore.com/ijcc/2013/IJCC-Vol1-No2-2013-pp48-59-Lenk.pdf
 
|Forschungsgruppe=Ökonomie und Technologie der eOrganisation
 
|Forschungsgruppe=Ökonomie und Technologie der eOrganisation
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}}
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{{Forschungsgebiet Auswahl
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|Forschungsgebiet=Cloud Computing
 
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Aktuelle Version vom 17. Juni 2014, 12:14 Uhr


Cloud Standby System and Quality Model


Cloud Standby System and Quality Model



Veröffentlicht: 2013 Dezember
Erscheinungsort: New York, USA
Journal: International Journal of Cloud Computing (IJCC)
Nummer: 2
Seiten: 48-59
Verlag: Services Society
Volume: 1


Referierte Veröffentlichung

BibTeX

Tags:Cloud StandbyWarm StandbyDisaster Recovery


Kurzfassung
Contingency plans for disaster preparedness and concepts for resuming regular operation as quickly as possible have been an integral part of running a company for decades. Today, large portions of revenue generation are taking place over the Internet and it has to be ensured that the respective resources and processes are secured against disasters, too. Cloud-Standby-Systems are a way for replicating an IT infrastructure to the Cloud. In this work, the Cloud Standby approach and a Markov-based model is presented that can be used to analyze and configure Cloud Standby systems on a long term basis. It is shown that by using a Cloud-Standby-System the availability can be increased, how configuration parameters like the replication interval can be optimized, and that the model can be used for supporting the decision whether the infrastructure should be replicated or not.

ISSN: 2326-7550
Download: Media:IJCC-Vol1-No2-2013-pp48-59-Lenk.pdf
Weitere Informationen unter: Link



Forschungsgruppe

Ökonomie und Technologie der eOrganisation


Forschungsgebiet

Cloud Computing