Full Description
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. Since its inception, the Bloom Filter 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.
Contents
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
