Searchable Storage in Cloud Computing [electronic resource] /
By: Hua, Yu [author.].
Contributor(s): Liu, Xue [author.] | SpringerLink (Online service).Material type: BookPublisher: Singapore : Springer Singapore : Imprint: Springer, 2019Description: XIII, 204 p. 71 illus., 40 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811327216.Subject(s): Computer Science | Computer science | Operating systems (Computers) | Data structures (Computer scienc | Memory management (Computer scie | Computer network architectures | Data Storage Representation | Operating Systems | Data Structures | Memory Structures | Data Structures and Information Theory | Computer System ImplementationOnline resources: Click here to access online
1. Backgrounds of Searchable Storage -- 2. Hashing Computation for Scalable Metadata -- 3. The Component of Searchable Storage: Semantic-Aware Namespace -- 4. Semantic-AwareMetadata Organization for Exact-matching Queries -- 5. Locality-Sensitive Bloom Filter for Approximate Membership Query -- 6. Near Real-time Searchable Analytics for Images -- 7. Data Similarity-aware Computation Infrastructure for the Cloud -- 8. Semantic-aware Data Cube for Cloud Networks.
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.