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Searchable storage in cloud computing

Author: Yu Hua; Xue Liu
Publisher: Singapore : Springer, 2019.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This book presents the state-of-the-art work in terms of searchable storage in cloud computing. It introduces and presents new schemes for exploring and exploiting the searchable storage via cost-efficient semantic hashing computation. Specifically, the contents in this book include basic hashing structures (Bloom filters, locality sensitive hashing, cuckoo hashing), semantic storage systems, and searchable  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Hua, Yu.
Searchable storage in cloud computing.
Singapore : Springer, 2019
(OCoLC)1049911211
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Yu Hua; Xue Liu
ISBN: 9789811327216 9811327211 9789811327223 981132722X
OCLC Number: 1085348318
Description: 1 online resource
Contents: Intro; Foreword; Preface; Acknowledgement; Contents; 1 Backgrounds of Searchable Storage; 1.1 Introduction; 1.2 Related Work; 1.3 BR-Tree Structure; 1.3.1 Proposed Architecture; 1.3.2 Load Balance; 1.3.3 Example for Multiple Queries; 1.4 Local Operations on a BR-Tree; 1.4.1 Item Insertion; 1.4.2 Item Deletion; 1.4.3 Point Query; 1.4.4 Range Query; 1.4.5 Cover Query; 1.4.6 Bound Query; 1.4.7 Simple Summary of Multiple Queries; 1.4.8 Comparisons of BR-Tree and Other State-of-the-Art Structures; 1.5 Distributed BR-Trees; 1.5.1 Distributed BR-Tree Structure 1.5.2 Operations on Distributed BR-Tree1.5.3 Update Stale Replicas; 1.6 Prototype Implementation; 1.6.1 Constructing Experiment Environment; 1.6.2 Performance Evaluation; 1.7 Conclusion; References; 2 Hashing Computation for Scalable Metadata; 2.1 Introduction; 2.1.1 Motivations; 2.1.2 Contributions; 2.2 G-HBA Design; 2.2.1 Dynamic and Adaptive Metadata Management; 2.2.2 Group-Based HBA Scheme; 2.2.3 Critical Path for G-HBA Multi-level Query Service; 2.2.4 Updating Replicas; 2.3 Dynamic and Adaptive Group Reconfigurations; 2.3.1 Lightweight Migration for Group Reconfiguration 2.3.2 Group Splitting and Merging2.3.3 Optimal Group Configuration; 2.4 Performance Evaluation; 2.5 Prototype Implementation and Analysis; 2.6 Related Work; 2.7 Conclusion; References; 3 The Component of Searchable Storage: Semantic-Aware Namespace; 3.1 Introduction; 3.2 Backgrounds and Problem Statement; 3.2.1 Multi-dimensional Attributes; 3.2.2 Problem Statement; 3.3 Design and Implementation; 3.3.1 An Architectural Overview; 3.3.2 Semantic Correlation Identification; 3.3.3 Data Storage Structure; 3.3.4 Namespace Construction; 3.3.5 Dynamic Evolution; 3.4 Performance Evaluation 3.4.1 Experimental Setup3.4.2 Results and Discussions; 3.5 Related Work; 3.6 Conclusion; References; 4 Semantic-Aware Metadata Organization for Exact-Matching Queries; 4.1 Introduction; 4.1.1 Semantic Correlation; 4.1.2 SmartStore's Contributions; 4.2 SmartStore System; 4.2.1 Overview; 4.2.2 User View; 4.2.3 System View; 4.2.4 Configuration to Match Query Patterns; 4.3 Semantic-Aware Design and Analysis; 4.3.1 The LSI Tool; 4.3.2 Semantic Grouping; 4.3.3 PLSA for Complexity Reduction; 4.3.4 Complexity Analysis; 4.4 System Configurations; 4.4.1 Grouping in a Semantic R-tree; 4.4.2 Insertion 4.4.3 Deletion4.4.4 Query Approaches; 4.5 Key Design Issues; 4.5.1 Node Split and Merge; 4.5.2 Mapping of Index Units; 4.5.3 Multi-mapping of Root Node; 4.5.4 Selection of Multi-dimensional Attributes; 4.5.5 Consistency Guarantee via Versioning; 4.6 Performance Evaluation; 4.6.1 Prototype Implementation; 4.6.2 Performance Comparisons Between SmartStore and Baseline Systems; 4.6.3 Overhead and Efficiency of Versioning; 4.7 Related Work; 4.7.1 Content-Based Search; 4.7.2 Directory-Based Subtree Partitioning; 4.8 Conclusion; References
Responsibility: Yu Hua, Xue Liu.

Abstract:

Specifically, the contents in this book include basic hashing structures (Bloom filters, locality sensitive hashing, cuckoo hashing), semantic storage systems, and searchable namespace, which support  Read more...

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