Systems for Big Graph Analytics: SpringerBriefs in Computer Science
Autor Da Yan, Yuanyuan Tian, James Chengen Limba Engleză Paperback – 13 iun 2017
This book is organized into three parts, addressing three popular computation models for big graph analytics: think-like-a-vertex, think-likea- graph, and think-like-a-matrix. While vertex-centric systems have gained great popularity, the latter two models are currently being actively studied to solve graph problems that cannot be efficiently solved in vertex-centric model, and are the promising next-generation models for big graph analytics. For each part, the authors introduce the state-of-the-art systems, emphasizing on both their technical novelties and hands-on experiences of using them. The systems introduced include Giraph, Pregel+, Blogel, GraphLab, CraphChi, X-Stream, Quegel, SystemML, etc. Readers will learn how to design graph algorithms in various graph analytics systems, and how to choose the most appropriate system for a particular application at hand. The target audience for this book include beginners who are interested in using a big graph analytics system, and students, researchers and practitioners who would like to build their own graph analytics systems with new features.
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Specificații
ISBN-13: 9783319582160
ISBN-10: 331958216X
Pagini: 92
Ilustrații: VI, 92 p. 10 illus., 2 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.15 kg
Ediția:1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Seria SpringerBriefs in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 331958216X
Pagini: 92
Ilustrații: VI, 92 p. 10 illus., 2 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.15 kg
Ediția:1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Seria SpringerBriefs in Computer Science
Locul publicării:Cham, Switzerland
Cuprins
1 Introduction.- 2 Pregel-Like Systems.- 3 Hands-On Experiences.- 4 Shared Memory Abstraction.- 5 Block-Centric Computation.- 6 Subgraph-Centric Graph Mining.- 7 Matrix-Based Graph Systems.- 8 Conclusions.