isrjournals
User Sign in    Editor Sign in

7 zip compression

Janakiramal.p,Dr.D.C.Julliie Josephine

Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology

ISSN: 2321-3337          Impact Factor:1.521         Volume:4         Issue:3         Year: 19 March,2016         Pages:442-445

International Journal of Advanced Research in Computer Science Engineering and Information Technology

Abstract

The namespace management is based on hierarchical directory trees. This tree-based namespace scheme is prone to severe performance bottlenecks and often fails to provide real-time response to complex data lookups. The paper proposes a Semantic-Aware Namespace scheme, called SANE, which provides dynamic and adaptive namespace management for ultra-large storage systems with billions of files. Associative access on the files is provided by an initial extension to existing tree structured file system protocols, and by the use of these protocols that are designed specifically for content based file system access. Access on the file details such as versions or any other concepts were interpreted as queries applied on our container engine, and thus provide flexible associative access to files. indexing of key properties of file system objects and indexing/ caching on the file system is one of the fantastic feature of our system. The automatic indexing of files and grouped based on relativity is called “semantic” because user programmable nature of the system uses information about the semantics of updated file system objects to extract the properties for indexing. The semantic correlations and file groups identified in SANE can also be used to facilitate file perfecting and data de-duplication, among other system-level optimizations.

Kewords

map, reduce, data processing, transpose, minify.

Reference

[1] R. N. Rodrigues, L. L. Ling, and V. Govindaraju, “Robustness of multimodal biometric fusion methods against spoof attacks,” J.Vis. Lang. Comput., vol. 20, no. 3, pp. 169–179, 2009. [2] P. Johnson, B. Tan, and S. Schuckers, “Multimodal fusion vulnerability to non-zero effort (spoof) imposters,” in IEEE Int’l Workshop on Inf. Forensics and Security, 2010, pp. 1–5. [3] P. Fogla, M. Sharif, R. Perdisci, O. Kolesnikov, and W. Lee, “Polymorphic blending attacks,” in Proc. 15th Conf. on USENIX Security Symp. CA, USA: USENIX Association, 2006. [4] G. L. Wittel and S. F. Wu, “On attacking statistical spam filters,” in 1st Conf. on Email and Anti-Spam, CA, USA, 2004. [5] D. Lowd and C. Meek, “Good word attacks on statistical spam filters,” in 2nd Conf. on Email and Anti-Spam, CA, USA, 2005