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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Abstract—Existing data storage systems based on the hierarchical directory-tree organization do not meet the scalability and functionality requirements for exponentially growing data sets and increasingly complex metadata queries in large-scale, Exabyte-level file systems with billions of files. This paper proposes a novel decentralized semantic-aware metadata organization, called SmartStore, which exploits semantics of files' metadata to judiciously aggregate correlated files into semantic-aware groups by using information retrieval tools. T ....etc

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PRESENTED BY:
Narmadha.K
Panimalar.R
Pavithra.P
Praveena.M


FLEXIBLE HARDWARE ARCHITECTURE OF HIERARCHICAL K-MEANS CLUSTERING FOR LARGE CLUSTER NUMBER

ABSTRACT
 To Handle Large Cluster Number In Embedded Systems, A Hardware Architecture Of Hierarchical K-means (Hk-means) Is Proposed To Support A Maximum Cluster Number Of 1024.
 It Adopts 10 Processing Elements For The Euclidean Distance Computations And The Level-order Binary-tree Traversal
 The Gate Count Of The Hardware Is 4 ....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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HBA:
distributed meta data management for large cluster based storage systems ....etc

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hirarichal bloom filter arrays
Distributed metadata management for large cluster based storage systems ....etc

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i need total project for HBA distributed metadata management for large cluster based storage systems,please send it to my mail id .
[email protected]
thanking u.

sudheer kumar ....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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plz send me.HBA:Distributed Metadata Management for
Large Cluster-Based Storage System srs document to me. ....etc

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hi....my project is ..
HBA: Distributed Metadata Management for Large Cluster-Based Storage Systems............ helpme out any info...abt this.. ....etc

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