Searchable Storage in Cloud Computing

Searchable Storage in Cloud Computing
  • eBook:
    Searchable Storage in Cloud Computing
  • Author:
    Yu Hua, Xue Liu
  • Edition:
    1st ed. 2019 edition
  • Categories:
  • Data:
    February 8, 2019
  • ISBN:
  • ISBN-13:
  • Language:
  • Pages:
    204 pages
  • Format:

Book Description
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.


Chapter 1. Backgrounds of Searchable Storage
Chapter 2. Hashing Computation for Scalable Metadata
Chapter 3. The Component of Searchable Storage: Semantic-Aware Namespace
Chapter 4. Semantic-Aware Metadata Organization for Exact-Matching Queries
Chapter 5. Locality-Sensitive Bloom Filter for Approximate Membership Query
Chapter 6. Near Real-Time Searchable Analytics for Images
Chapter 7. Data Similarity-Aware Computation Infrastructure for the Cloud
Chapter 8. Semantic-Aware Data Cube for Cloud Networks

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