Large-Scale Graph Processing Using Apache Giraph

Sherif Sakr is currently a professor of computer and information science in the Health Informatics department at King Saud bin Abdulaziz University for Health Sciences. He is also affiliated with the University of New South Wales and DATA61/CSIRO (formerly NICTA). He had held visiting appointments in several academic and research institutes including Microsoft Research (2011), Alcatel-Lucent Bell Labs (2012), Humboldt University of Berlin (2015), University of Zurich (2016) and TU Dresden (2016). In 2013, Sherif has been awarded the Stanford Innovation and Entrepreneurship Certificate. Faisal Moeen Orakzai is a joint PhD candidate at Université Libre de Bruxelles (ULB) Belgium and Aalborg University (AAU) Denmark. In addition to doing research, he works as a consultant and helps companies setting up their distributed data processing architectures and pipelines. He is a Big Data management and analytics enthusiast and currently working on a Giraph based framework for spatio-temporal pattern mining. Ibrahim Abdelaziz is a Computer Science PhD candidate at King Abdullah University of Science and Technology (KAUST). Prior to joining KAUST, he used to work on pattern recognition and information retrieval in several research organizations in Egypt. His current research interests are Data Mining over large scale graphs, Distributed Systems and Machine Learning. Zuhair Khayyat is a PhD candidate in the InfoCloud group at King Abdullah University of Science and Technology (KAUST) focusing on Big Data, Analytics and Graphs.

• 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 volume is a cookbook on Giraph. … Its virtue is that it will help newcomers to Giraph to get up and running quickly. … Users who need to bring up Giraph quickly and who have no experience with the Hadoop-Giraph ecosystem will find the volume a helpful introduction to these powerful tools.” (Computing Reviews, October, 2017)