Distributed Graph Analytics
Language: en
Pages: 207
Authors: Unnikrishnan Cheramangalath, Rupesh Nasre, Y. N. Srikant
Categories: Computers
Type: BOOK - Published: 2020-04-17 - Publisher: Springer Nature

This book brings together two important trends: graph algorithms and high-performance computing. Efficient and scalable execution of graph processing applications in data or network analysis requires innovations at multiple levels: algorithms, associated data structures, their implementation and tuning to a particular hardware. Further, programming languages and the associated compilers play
Massive Graph Analytics
Language: en
Pages: 616
Authors: David A. Bader
Categories: Business & Economics
Type: BOOK - Published: 2022-07-22 - Publisher: CRC Press

"Graphs. Such a simple idea. Map a problem onto a graph then solve it by searching over the graph or by exploring the structure of the graph. What could be easier? Turns out, however, that working with graphs is a vast and complex field. Keeping up is challenging. To help
Distributed Computing and Internet Technology
Language: en
Pages: 438
Authors: Dang Van Hung, Meenakshi D ́Souza
Categories: Computers
Type: BOOK - Published: 2020-01-01 - Publisher: Springer Nature

This book constitutes the proceedings of the 16th International Conference on Distributed Computing and Internet Technology, ICDCIT 2020, held in Bhubaneswar, India, in January 2020. The 20 full and 3 short papers presented in this volume were carefully reviewed and selected from 110 submissions. In addition, the book included 6
Software Foundations for Data Interoperability and Large Scale Graph Data Analytics
Language: en
Pages: 195
Authors: Lu Qin, Wenjie Zhang, Ying Zhang, You Peng, Hiroyuki Kato, Wei Wang, Chuan Xiao
Categories: Computers
Type: BOOK - Published: 2020-11-05 - Publisher: Springer Nature

This book constitutes refereed proceedings of the 4th International Workshop on Software Foundations for Data Interoperability, SFDI 2020, and 2nd International Workshop on Large Scale Graph Data Analytics, LSGDA 2020, held in Conjunction with VLDB 2020, in September 2020. Due to the COVID-19 pandemic the conference was held online. The
Handbook of Big Data Technologies
Language: en
Pages: 895
Authors: Albert Y. Zomaya, Sherif Sakr
Categories: Computers
Type: BOOK - Published: 2017-02-25 - Publisher: Springer

This handbook offers comprehensive coverage of recent advancements in Big Data technologies and related paradigms. Chapters are authored by international leading experts in the field, and have been reviewed and revised for maximum reader value. The volume consists of twenty-five chapters organized into four main parts. Part one covers the