國立虎尾科技大學 |

Large-Scale Graph Processing Using Apache Giraph

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Large-Scale Graph Processing Using Apache Giraph/ by Sherif Sakr, Faisal Moeen Orakzai, Ibrahim Abdelaziz, Zuhair Khayyat.
作者:	Sakr, Sherif.
其他作者:	Orakzai, Faisal Moeen.
面頁冊數:	XXV, 197 p. 102 illus., 87 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Database management. -
電子資源:	https://doi.org/10.1007/978-3-319-47431-1
ISBN:	9783319474311

Large-Scale Graph Processing Using Apache Giraph
Sakr, Sherif.

Large-Scale Graph Processing Using Apache Giraph[electronic resource] /by Sherif Sakr, Faisal Moeen Orakzai, Ibrahim Abdelaziz, Zuhair Khayyat. - 1st ed. 2016. - XXV, 197 p. 102 illus., 87 illus. in color.online resource.

1. Introduction -- 2. Getting started with Giraph -- 3. Giraph-In-Action: Implementing Popular Graph Algorithms using Giraph -- 4. Giraph Programming Optimizations: Tips and Tricks -- 5. Similar Systems to Giraph -- 6. Conclusions.

This book takes its reader on a journey through Apache Giraph, a popular distributed graph processing platform designed to bring the power of big data processing to graph data. Designed as a step-by-step self-study guide for everyone interested in large-scale graph processing, it describes the fundamental abstractions of the system, its programming models and various techniques for using the system to process graph data at scale, including the implementation of several popular and advanced graph analytics algorithms. The book is organized as follows: Chapter 1 starts by providing a general background of the big data phenomenon and a general introduction to the Apache Giraph system, its abstraction, programming model and design architecture. Next, chapter 2 focuses on Giraph as a platform and how to use it. Based on a sample job, even more advanced topics like monitoring the Giraph application lifecycle and different methods for monitoring Giraph jobs are explained. Chapter 3 then provides an introduction to Giraph programming, introduces the basic Giraph graph model and explains how to write Giraph programs. In turn, Chapter 4 discusses in detail the implementation of some popular graph algorithms including PageRank, connected components, shortest paths and triangle closing. Chapter 5 focuses on advanced Giraph programming, discussing common Giraph algorithmic optimizations, tunable Giraph configurations that determine the system’s utilization of the underlying resources, and how to write a custom graph input and output format. Lastly, chapter 6 highlights two systems that have been introduced to tackle the challenge of large scale graph processing, GraphX and GraphLab, and explains the main commonalities and differences between these systems and Apache Giraph. This book serves as an essential reference guide for students, researchers and practitioners in the domain of large scale graph processing. It offers step-by-step guidance, with several code examples and the complete source code available in the related github repository. Students will find a comprehensive introduction to and hands-on practice with tackling large scale graph processing problems using the Apache Giraph system, while researchers will discover thorough coverage of the emerging and ongoing advancements in big graph processing systems.

ISBN: 9783319474311

Standard No.: 10.1007/978-3-319-47431-1doiSubjects--Topical Terms:

557799
Database management.

LC Class. No.: QA76.9.D3

Dewey Class. No.: 005.74

Large-Scale Graph Processing Using Apache Giraph
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