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Searchable storage in cloud computing

Hua, Yu.

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Searchable storage in cloud computing

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Searchable storage in cloud computing/ by Yu Hua, Xue Liu.
作者:	Hua, Yu.
其他作者:	Liu, Xue.
出版者:	Singapore :Springer Singapore : : 2019.,
面頁冊數:	xiii, 204 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Cloud computing. -
電子資源:	https://doi.org/10.1007/978-981-13-2721-6
ISBN:	9789811327216

Searchable storage in cloud computing
Hua, Yu.

Searchable storage in cloud computing[electronic resource] /by Yu Hua, Xue Liu. - Singapore :Springer Singapore :2019. - xiii, 204 p. :ill., digital ;24 cm.

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.

ISBN: 9789811327216

Standard No.: 10.1007/978-981-13-2721-6doiSubjects--Topical Terms:

1016782
Cloud computing.

LC Class. No.: QA76.585

Dewey Class. No.: 004.6782

Searchable storage in cloud computing
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505 0 $a 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.
520 $a 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.
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