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All Journal International Journal of Electrical and Computer Engineering International Journal of Advances in Applied Sciences
B. Thirumala Rao
KL University
Computer Science & IT Earth & Planetary Sciences Electrical & Electronics Engineering Environmental Science Materials Science & Nanotechnology Mathematics Physics

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A Secured Cloud Data Storage with Access Privileges Naresh Vurukonda; B. Thirumala Rao; B. Tirapathi Reddy
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 5: October 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (297.263 KB) | DOI: 10.11591/ijece.v6i5.pp2338-2344

Abstract

In proposed framework client source information reinforcements off-site to outsider distributed storage benefits to decrease information administration costs. In any case, client must get protection ensure for the outsourced information, which is currently safeguarded by outsiders. To accomplish such security objectives, FADE is based upon an arrangement of cryptographic key operations that are self-kept up by a majority of key supervisors that are free of outsider mists. In unmistakable, FADE goes about as an overlay framework that works flawlessly on today's distributed storage administrations. Actualize a proof-of-idea model of FADE on Amazon S3, one of today's distributed storage administrations. My work oversee, esteem included security highlights acclimatize were today's distributed storage administration. our research work proceeds in ensuring the file access control and assured deletion in multi cloud environment and reducing the meta data management, there by the cloud storage become more attractive and many users will adopt the cloud space in order to diminish the data storage cost.
A Study on Big Data Techniques and Applications K. Radha; B. Thirumala Rao
International Journal of Advances in Applied Sciences Vol 5, No 2: June 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (240.949 KB) | DOI: 10.11591/ijaas.v5.i2.pp101-108

Abstract

We are living in on-Demand Digital Universe with data spread by users and organizations at a very high rate. This data is categorized as Big Data because of its Variety, Velocity, Veracity and Volume. This data is again classified into unstructured, semi-structured and structured. Large datasets require special processing systems; it is a unique challenge for academicians and researchers. Map Reduce jobs use efficient data processing techniques which are applied in every phases of Map Reduce such as Mapping, Combining, Shuffling, Indexing, Grouping and Reducing. Big Data has essential characteristics as follows Variety, Volume and Velocity, Viscosity, Virality. Big Data is one of the current and future research frontiers. In many areas Big Data is changed such as public administration, scientific research, business, The Financial Services Industry, Automotive Industry, Supply Chain, Logistics, and Industrial Engineering, Retail, Entertainment, etc. Other Big Data applications are exist in atmospheric science, astronomy, medicine, biologic, biogeochemistry, genomics and interdisciplinary and complex researches.  This paper is presents the Essential Characteristics of Big Data Applications and State of-the-art tools and techniques to handle data-intensive applications and also building index for web pages available online and see how Map and Reduce functions can be executed by considering input as a set of documents. 
Co-Authors B. Tirapathi Reddy K. Radha Naresh Vurukonda