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HBA: Distributed Metadata Management for
Large Cluster-Based Storage Systems
Scope of the project
To create metadata of all the files in the network and finds a particular file using a search engine in fast and easy.
Introduction
Rapid advances in general-purpose communication networks have motivated the employment of inexpensive components to build competitive cluster-based storage solutions to meet th ....etc

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HBA DISTRIBUTED METADATA MANAGEMENT FOR LARGE SCALE CLUSTER BASED STORAGE SYSTEM --PARALLEL AND DISTRIBUTED SYSTEMS

Abstract: An efficient and distributed scheme for file mapping or file lookup is critical in decentralizing metadata management within a group of metadata servers, here the technique used called HIERARCHICAL BLOOM FILTER ARRAYS (HBA) to map filenames to the metadata servers holding their metadata. The Bloom filter arrays with different levels of accuracies are used on each metadata server. The first one with low accuracy and u ....etc

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Abstract Byzantine-fault-tolerant replication enhances the availability and reliability of Internet services that store critical state and preserve it despite attacks or software errors. However, existing Byzantine-fault-tolerant storage systems either assume a static set of replicas, or have limitations in how they handle reconfigurations (e.g., in terms of the scalability of the solutions or the consistency levels they provide). This can be problematic in long-lived, large-scale systems where system membership is likely to change during the ....etc

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Presented By:
D.Sairam(05631A0433)

D.Satishvarma(05631A0437)

ISTE Membership numbers: 1782 &1786
SRI VB4KATESHWARA ENGINEERING COLLEGE
SURYAPET-508 213. NALGONDA DIST.(A.P)
Accredited by NBA


Abstract:
Since the invention of the integrated circuit in 19S8,the number of processing steps required to make one has grown from Less than 10 to several hundreds. At the same time-, the silicon wafers on which the VLSI ICs. are produced have gone from being coin sized to being dinner-plate sized. Tod ....etc

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A metasearch engine supports unified access to multiple component search engines. To build a very large-scale metasearch engine that can access up to hundreds of thousands of component search engines, one major challenge is to incorporate large numbers of autonomous search engines in a highly effective manner. To solve this problem, we propose automatic search engine discovery, automatic search engine connection, and automatic search engine result extraction techniques. Experiments indicate that these techniques are highly effective and efficie ....etc

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HBA: Distributed Metadata Management for
Large Cluster-Based Storage Systems
INTRODUCTION
The rapid advances in general-purpose communication networks have motivated the deployment of inexpensive
components to build competitive cluster-based storage
solutions to meet the increasing demand of scalable
computing. by aggregating existing storage resources on each commodity PC in
a computing cluster, a large and cost effective system can be implemented for high-performance storage devices. A part has been attributed to th ....etc

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HBA DISTRIBUTED METADATA MANAGEMENT FOR LARGE SCALE CLUSTER BASED STORAGE SYSTEM

Abstract: An efficient and distributed scheme for file mapping or file lookup is critical in decentralizing metadata management within a group of metadata servers, here the technique used called HIERARCHICAL BLOOM FILTER ARRAYS (HBA) to map filenames to the metadata servers holding their metadata. The Bloom filter arrays with different levels of accuracies are used on each metadata server. The first one with low accuracy and used to capture the destination metad ....etc

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Abstract
This article discusses a novel technique called Hierarchical Bloom Filter Arrays (HBA) to map filenames to the metadata servers holding their metadata.An efficient and distributed scheme for file mapping or file lookup is critical in decentralizing metadata management within a group of metadata servers.Two levels of probabilistic arrays called the Bloom filter arrays with different levels of accuracies, are used on each metadata server. One array, with higher accuracy, caches partial distribution information and exploits the temporal ....etc

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