Bloom Filter: A Data Structure for Computer Networking, Big Data, Cloud Computing, Internet of Things, Bioinformatics and Beyond

Bloom Filter: A Data Structure for Computer Networking, Big Data, Cloud Computing, Internet of Things, Bioinformatics, and Beyond focuses on both the theory and practice of the most emerging areas for Bloom filter application, including Big Data, Cloud Computing, Internet of Things, and Bioinformatics. Sections provide in-depth insights on structure and variants, focus on its role in computer networking, and discuss applications in various research domains, such as Big Data, Cloud Computing, and Bioinformatics. The conventional Bloom filter is a probabilistic data structure for membership filter. Burton Howard Bloom introduced an approximate membership filtering data structure in 1970. Hence, it is called a Bloom filter. Since its inception, it has been extensively experimented with and developed to enhance system performance such as web cache. Bloom filter influences many research fields, including Bioinformatics, Internet of Things, computer security, network appliances, Big Data, and Cloud Computing. Includes Bloom filter methods for a wide variety of applications Includes concepts and implementation strategies that will help the reader to use the suggested methods Provides a look at issues and challenges faced by researchers INDICE: Part I: Variants of Bloom Filter1. Introduction to Bloom Filter2. Variants of Bloom Filters3. Counting Bloom Filter4. Hierarchical Bloom Filter5. Multidimensional Bloom Filter6. High Accuracy Bloom Filter7. High Scalable Bloom Filter8. Issues and Challenges of Bloom FiltersPart II: Applications of Bloom Filter in Networking9. Content-Centric Network10. Software-Defined Network11. Wireless Networking12. Network Security13. Internet of ThingsPart III: Applications of Bloom Filter in Other Domains14. Database and NoSQL15. Big Data16. Cloud Computing17. Healthcare18. Biometrics19. Bioinformatics

• ISBN: 978-0-12-823520-1
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 232
• Fecha Publicación: 01/10/2022
• Nº Volúmenes: 1
• Idioma: Inglés