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|Year=2015 | |Year=2015 | ||
|Month=Juli | |Month=Juli | ||
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|Publisher=IEEE | |Publisher=IEEE | ||
|Address=New York | |Address=New York | ||
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{{Publikation Details | {{Publikation Details | ||
|Abstract=Disaster recovery planning and securing business processes against outtakes have been essential parts of running a company for decades. As IT systems have become more important, and especially since more and more revenue is generated over the Internet, securing the IT systems that support the business processes against outages is essential. For cost reasons, we proposed Cloud Computing for disaster recovery in prior work. In order to update and deploy a standby system, however, a de-ployment method that allows a provider independent, automated deployment of distributed systems is necessary. In this work we present such a deployment method. We show that by using Cloud Standby Deployment, the recovery time can be reduced signifi-cantly, and the distributed system can be deployed provider in-dependently. | |Abstract=Disaster recovery planning and securing business processes against outtakes have been essential parts of running a company for decades. As IT systems have become more important, and especially since more and more revenue is generated over the Internet, securing the IT systems that support the business processes against outages is essential. For cost reasons, we proposed Cloud Computing for disaster recovery in prior work. In order to update and deploy a standby system, however, a de-ployment method that allows a provider independent, automated deployment of distributed systems is necessary. In this work we present such a deployment method. We show that by using Cloud Standby Deployment, the recovery time can be reduced signifi-cantly, and the distributed system can be deployed provider in-dependently. | ||
− | |Download=2015-04-29 - Deployment Lang.pdf, | + | |Download=2015-04-29 - Deployment Lang.pdf, |
|Forschungsgruppe=Betriebliche Informationssysteme | |Forschungsgruppe=Betriebliche Informationssysteme | ||
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Aktuelle Version vom 10. August 2015, 13:14 Uhr
Cloud Standby Deployment: A Model-Driven Deployment Method for Disaster Recovery in the Cloud
Cloud Standby Deployment: A Model-Driven Deployment Method for Disaster Recovery in the Cloud
Published: 2015
Juli
Buchtitel: Cloud Computing (CLOUD), 2015 IEEE International Conference on
Verlag: IEEE
Erscheinungsort: New York
Referierte Veröffentlichung
BibTeX
Kurzfassung
Disaster recovery planning and securing business processes against outtakes have been essential parts of running a company for decades. As IT systems have become more important, and especially since more and more revenue is generated over the Internet, securing the IT systems that support the business processes against outages is essential. For cost reasons, we proposed Cloud Computing for disaster recovery in prior work. In order to update and deploy a standby system, however, a de-ployment method that allows a provider independent, automated deployment of distributed systems is necessary. In this work we present such a deployment method. We show that by using Cloud Standby Deployment, the recovery time can be reduced signifi-cantly, and the distributed system can be deployed provider in-dependently.
Download: Media:2015-04-29 - Deployment Lang.pdf
Betriebliche Informationssysteme