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Searchable Storage in Cloud Computing

  • Yu Hua
  • Xue Liu
Book

Table of contents

About this book

Introduction

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 namespace, which support multiple applications, such as cloud backups, exact and approximate queries and image analytics. Readers would be interested in the searchable techniques due to the ease of use and simplicity. More importantly, all these mentioned structures and techniques have been really implemented to support real-world applications, some of which offer open-source codes for public use. Readers will obtain solid backgrounds, new insights and implementation experiences with basic knowledge in data structure and computer systems.

Keywords

Searchable storage hashing computation search service cloud storage Bloom filters metadata system cloud backups locality sensitive hashing cuckoo hashing approximate query

Authors and affiliations

  • Yu Hua
    • 1
  • Xue Liu
    • 2
  1. 1.Huazhong University of Science and TechnologyWuhanChina
  2. 2.McGill University MontrealCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-13-2721-6
  • Copyright Information Springer Nature Singapore Pte Ltd. 2019
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science
  • Print ISBN 978-981-13-2720-9
  • Online ISBN 978-981-13-2721-6
  • Buy this book on publisher's site
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