NDLI: Location awareness of the cloud storage with trust management using common deployment model

Content Provider	IEEE Xplore Digital Library
Author	Saravanakumar, C. Arun, C.
Copyright Year	2013
Description	Author affiliation: Dept. of Electron. Commun. Eng., R.M.K Coll. of Eng. & Technol., Chennai, India (Arun, C.) \|\| Dept. of Comput. Sci. & Eng., Sathyabama Univ., Chennai, India (Saravanakumar, C.)
Abstract	Cloud computing moves the application software, platform and infrastructure into the large data centers which are maintained at the centralized location. The Cloud Service User (CSU) requests the resources from the cloud for their current requirements without investing the money. It is a pay-as-you-go-basis which means that the CSU pay what they actually consumed. If the Cloud Service Provider (CSP) provides the service to the CSU with high quality then only they improve the business. There are various delivery models available such as SaaS, PaaS and IaaS etc. These models are deployed over the public, private, community and hybrid deployment models for the effective delivery. The existing work focused on the separation of various high-level and low-level services involved in cloud services, which always has an important aspect in the quality of service. The CSU can store the data in the cloud with security, but no awareness of the location is provided in which the data stored. The CSP has to change the location of the data from one location to another location which is unknown by the CSU. Even though, the data with high security at the cloud is available there is no way to identify the location of the data. The proposed work focuses on the location awareness of the data by using the tag which is synchronized in all the location. The CSU can get the notification whenever the data location changes by the CSP. This technique improves the reliability of the cloud storage with the CSU retention. In future the technique will be improved at the maximum level for improving the performance of the cloud computing.
Starting Page	1
Ending Page	5
File Size	722467
Page Count	5
File Format	PDF
e-ISBN	9781479939268
DOI	10.1109/ICCCNT.2013.6726703
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-04
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cloud Storage Cloud computing Databases Cloud Computing Computational modeling Cloud Services Cloud Migration Security Reliability Deployment Model Interoperability Business
Content Type	Text
Resource Type	Article

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