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SANE: Semantic-Aware Namespace in Ultra-Large-Scale File Sys

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. This 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. Contact Us 91 98406 78906, 91 90037 18877 kaashiv.info@gmail.com www.kaashivinfotech.com Shivanantha Building (Second building to Ayyappan Temple), X41, 5th Floor, 2nd avenue, Anna Nagar,Chennai-40

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SANE: Semantic-Aware Namespace in Ultra-Large-Scale File Sys

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  1. Semantic updated Semantic-Aware Metadata Organization Paradigm in Next-Generation File Systems Team IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, VOL. 25, NO. 5, MAY 2014 SANE: Semantic-Aware Namespace in Ultra-Large-Scale File Systems

  2. A Software /Manufacturing Research Company Run By Microsoft Most Valuable Professional VenkatesanPrabu .J MANAGING DIRECTOR Microsoft Web Developer Advisory Council team member and a well known Microsoft Most Valuable Professional (MVP) for the year 2008, 2009, 2010,2011,2012,2013 ,2014. LakshmiNarayanan.J GENERAL MANAGER BlackBerry Server Admin. Oracle 10g SQL Expert. Arunachalam.J Electronic Architect Human Resourse Manager

  3. 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. • This 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.

  4. Existing System • The relationship among the files often evolves, Rapport can fast identify their changes to update the namespace by exploiting the particular file semantic of provenance. • The basic objective of the system is to create a SmartStore system with the basic CRUD options. In turn, the basic query operation of the users were tracked, top N Queries and Range of the top queries were retrieved. • Semantic grouping of file data with a proper indexing is the core concept and the files were stored securely with a clear segregation of Storage Units and Index Units. • Systems Petabytes or even Exabytes. Our scheme logically creates metadata servers (MDS)

  5. Proposed System • The scale of these systems gives rise to many problems: they will be developed and used by many stakeholders across multiple organizations, often with conflicting purposes and needs; they will be constructed from heterogeneous parts with complex dependencies and emergent properties • Creating a customized container indicates the data will be compressed and it will be stored in the container. To enhance the process of retrieving the data faster the Indexing of data inside the container is achieved. • Basic CRUD operations on the container cannot be logged in the existing system. This makes the admin to keep a track on the documents. Restring data access on the container and providing security and access rights on the documents in the container is not available in the existing system.

  6. System Requirements • Software Requirements • Platform : DOTNET (VS2010) , ASP.NET Dot net framework 4.0 • Database : SQL Server 2008 R2 • Hardware Requirements • Processor : Core 2 duo • Speed : 2.2GHZ • RAM : 2GB • Hard Disk : 160GB

  7. Architecture Diagram

  8. Records Breaks Asia Book Of Records Tamil Nadu Of Records India Of Records MVP Awards World Record

  9. Services: A Software /Manufacturing Research Company Run By Microsoft Most Valuable Professional Inplant Training. Internship. Workshop’s. Final Year Project’s. Industrial Visit. Contact Us: +91 98406 78906,+91 90037 18877 kaashiv.info@gmail.com www.kaashivinfotech.com Shivanantha Building (Second building to Ayyappan Temple),X41, 5th Floor, 2nd avenue,Anna Nagar,Chennai-40.

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