- We will send in 10–14 business days.
/images/books/11784767/9781680832426.jpg)
- Author: Da Yan
- Publisher: Now Publishers
- Year: 2017
- ISBN-10: 1680832425
- ISBN-13: 9781680832426
- Format: 15.6 x 23.4 x 1.2 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
Reviews
Description
The growing need to deal with massive graphs in real-life applications has led to a surge in the development of big graph analytics platforms. Tens of such big graph systems have already been developed, and more are expected to emerge in the near future. Although several experimental studies have been conducted in recent years that compare the performance of several big graph systems, Big Graph Analytics Platforms is the first text to provide a comprehensive survey that clearly summarizes the key features and techniques developed in existing systems. It aims to help readers get a systematic picture of the landscape of recent big graph systems, focusing not just on the systems themselves, but also on the key innovations and design philosophies underlying them. In addition to the popular vertex-centric systems which espouse a think-like-a-vertex paradigm for developing parallel graph applications, Big Graph Analytics Platforms also covers other programming and computation models, contrasts those against each other, and provides a vision for future research in the field.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 20d.11:08:18
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Da Yan
- Publisher: Now Publishers
- Year: 2017
- ISBN-10: 1680832425
- ISBN-13: 9781680832426
- Format: 15.6 x 23.4 x 1.2 cm, softcover
- Language: English English
The growing need to deal with massive graphs in real-life applications has led to a surge in the development of big graph analytics platforms. Tens of such big graph systems have already been developed, and more are expected to emerge in the near future. Although several experimental studies have been conducted in recent years that compare the performance of several big graph systems, Big Graph Analytics Platforms is the first text to provide a comprehensive survey that clearly summarizes the key features and techniques developed in existing systems. It aims to help readers get a systematic picture of the landscape of recent big graph systems, focusing not just on the systems themselves, but also on the key innovations and design philosophies underlying them. In addition to the popular vertex-centric systems which espouse a think-like-a-vertex paradigm for developing parallel graph applications, Big Graph Analytics Platforms also covers other programming and computation models, contrasts those against each other, and provides a vision for future research in the field.
Reviews