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

✍ Scribed by Ripon Patgiri, Sabuzima Nayak, Naresh Babu Muppalaneni

Tongue: English
Leaves: 228
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

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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