Stage-oe-small.jpg

Inproceedings3471: Unterschied zwischen den Versionen

Aus Aifbportal
Wechseln zu:Navigation, Suche
(Die Seite wurde neu angelegt: „{{Publikation Erster Autor |ErsterAutorNachname=Lenk |ErsterAutorVorname=Alexander }} {{Inproceedings |Referiert=True |Title=Cloud Standby Deployment: A Model-Dri…“)
 
 
Zeile 8: Zeile 8:
 
|Year=2015
 
|Year=2015
 
|Month=Juli
 
|Month=Juli
|Booktitle=IEEE CLOUD 2015
+
|Booktitle=Cloud Computing (CLOUD), 2015 IEEE International Conference on
|Organization=Proceedings of IEEE CLOUD 2015
 
 
|Publisher=IEEE
 
|Publisher=IEEE
 
|Address=New York
 
|Address=New York
Zeile 15: Zeile 14:
 
{{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
 
}}
 
}}

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



Forschungsgruppe

Betriebliche Informationssysteme


Forschungsgebiet