A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Balaanand, M.
- Shared Disk Big Data Analytics using Apache Hadoop
Authors
1 Computer Science and Engineering, University of Trichy, IN
2 V.R.S. College of Engineering and Technology, Arasur, Villupuram, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 7, No 10 (2015), Pagination: 285-289Abstract
Big Data is a term connected to information sets whose size is past the capacity of customary programming advancements to catch, store, oversee and prepare inside a passable slipped by time. The well known supposition around Huge Data examination is that it requires web scale adaptability: over many figure hubs with connected capacity. In this paper, we wrangle on the need of an enormously adaptable disseminated registering stage for Enormous Data examination in customary organizations. For associations which needn't bother with a flat, web request adaptability in their investigation stage, Big Data examination can be based on top of a customary POSIX Group File Systems utilizing a mutual stockpiling model. In this study, we looked at a broadly utilized bunched record framework: (SF-CFS) with Hadoop Distributed File System (HDFS) utilizing mainstream Guide diminish. In our investigations VxCFS couldn't just match the execution of HDFS, yet, additionally beat much of the time. Along these lines, endeavors can satisfy their Big Data examination need with a customary and existing shared stockpiling model without relocating to an alternate stockpiling model in their information focuses. This likewise incorporates different advantages like soundness and vigor, a rich arrangement of elements and similarity with customary examination application.Keywords
BigData, Hadoop, Clustered File Systems, Investigation, Cloud.- Preserving Big Data Integrity in Cloud with an Efficient Manner
Authors
Source
Artificial Intelligent Systems and Machine Learning, Vol 8, No 7 (2016), Pagination: 240-243Abstract
A man’s dream is process Big Data in cloud. But, nowadays this is achieved by using a new technology called cloud computing. Security is the major concern in Big Data. In cloud storage for Big Data are easily modified by the attackers. To overcome this data modification problem in cloud storage for Big Data, in this paper a novel Proxy Re-signature technique called Homomorphic Authenticable Proxy Iterative-signature is used for enhancing data security by using public key verifier. Public key Verifier will verify the integrity of shared data without accessing the entire big data from the cloud storage and also digital signature is attached to each block of message. With this digital signature, individual users can access the big data in the cloud storage. Whenever the attacker modifies the block of data in the cloud then signature is provided to user for modifying the particular block alone, these avoids the modification of data