Bloom Filter: A Data Structure for Computer Networking, Big Data, Cloud Computing, Internet of Things, Bioinformatics and Beyond
Autor Ripon Patgiri, Sabuzima Nayak, Naresh Babu Muppalanenien Limba Engleză Paperback – 28 apr 2023
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
- Defines concepts and implementation strategies that will help the reader use the suggested methods
- Provides an overview of issues and challenges faced by researchers
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Specificații
ISBN-13: 9780128235201
ISBN-10: 0128235209
Pagini: 228
Ilustrații: Approx. 100 illustrations
Dimensiuni: 216 x 276 x 15 mm
Greutate: 0.54 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0128235209
Pagini: 228
Ilustrații: Approx. 100 illustrations
Dimensiuni: 216 x 276 x 15 mm
Greutate: 0.54 kg
Editura: ELSEVIER SCIENCE
Cuprins
Section 1 Bloom Filters
1. Introduction to Bloom Filter
2. Bloom Filter: A Powerful Membership Data Structure
3. robustBF: A High Accuracy and Memory Efficient 2D Bloom Filter
4. Impact of the Hash Functions in Bloom Filters
5. Analysis on Bloom Filter: Performance, Memory and False Positive Probability
6. Does not Bloom Filter bloom in Membership Filtering?
7. A review on Standard Bloom Filter
8. Counting Bloom Filter: Architecture and Applications
9. Hierarchical Bloom Filter
Section 2 Applications of Bloom Filter in Networking
10. Application of Bloom Filter in Networking and Communication
11. Content-Centric Network
12. Software-Defined Network
13. Wireless Networking
14. Network Security
Section 3 Applications of Bloom Filter in Other Domains
15. Big Data
16. Cloud Computing
17. Biometrics
18. Bioinformatics
1. Introduction to Bloom Filter
2. Bloom Filter: A Powerful Membership Data Structure
3. robustBF: A High Accuracy and Memory Efficient 2D Bloom Filter
4. Impact of the Hash Functions in Bloom Filters
5. Analysis on Bloom Filter: Performance, Memory and False Positive Probability
6. Does not Bloom Filter bloom in Membership Filtering?
7. A review on Standard Bloom Filter
8. Counting Bloom Filter: Architecture and Applications
9. Hierarchical Bloom Filter
Section 2 Applications of Bloom Filter in Networking
10. Application of Bloom Filter in Networking and Communication
11. Content-Centric Network
12. Software-Defined Network
13. Wireless Networking
14. Network Security
Section 3 Applications of Bloom Filter in Other Domains
15. Big Data
16. Cloud Computing
17. Biometrics
18. Bioinformatics