Review Article on Cloud Drops
Keywords:
Cloud computing, data, Cloud drops, stamp sized ,security(DATA FRAGMENTATION) , strategy.Abstract
Cloud computing means storing and accessing data and programs over the internet instead of your computer’s hard drive. Drops is division and replication of data in the cloud for optimal performance and security. Cloud drops is a pervasive awareness platform that integrates virtual information from the web more closely with the contextually rich physical spaces in which we live and work. Clouddrops technology is about securing data over the cloud. Clouddrops consists of many interactive stamp sized displays, each showing a tiny bit of digital information. The large number of displays and their small size allows the user to flexibly instrument, orchestrate and reconfigure her personal information environment. We show different form factors for stamp-sized displays, provide a device concept and a first implementation. Clouddrops represent dynamic digital content, such as websites and documents or contacts. Thereby, each individual content is represented as a separate clouddrop. This allows the user to flexible attach each item on a physical place. In the other direction, it makes a physical place accessible remotely to provide situated messaging and communication. In the present article we are trying to understand the threats and suggesting new strategy for security aspects.
References
- Bhole Laxmikant, Mrs. M.S haikh, Patil Pratik kumar, Salve Rahul, Warade Pratik :‖A SURVEY ON CLOUD DATA ACCESS PRIVILEGE WITH FULLY ATTRIBUTE – BASED ENCRYPTION WITHGEO SOCIAL SECURITY‖, Vol. 3, Issue 11, November 2015
- DROPS: Division and Replication of Data in Cloud for Optimal Performance and Security‟ Mazhar Ali, Student Member, IEEE, Kashif Bilal, Student Member, IEEE, Samee U. Khan, Senior Member, IEEE, Bharadwaj Veeravalli, Senior Member, IEEE, Keqin Li, Senior Member, IEEE, and Albert Y. Zomaya, Fellow, IEEE
- T. Loukopoulos and I. Ahmad, ―Static and adaptive distributeddata replication using genetic algorithms,‖ Journal ofParallel and Distributed Computing, Vol. 64, No. 11, 2004,
- SLIMON OBLERDING, JURGEN STEIMLE, SURANGA NANAYAKKARA AND PATTIE MAES.
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