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OverviewThe 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. Full Product DetailsAuthor: Da Yan , Bu Yingyi , Yuanyuan Tian , Amol DeshpandePublisher: now publishers Inc Imprint: now publishers Inc Dimensions: Width: 15.60cm , Height: 1.20cm , Length: 23.40cm Weight: 0.313kg ISBN: 9781680832426ISBN 10: 1680832425 Pages: 218 Publication Date: 12 January 2017 Audience: College/higher education , Postgraduate, Research & Scholarly Format: Paperback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of Contents1: Introduction 2: Preliminaries PART I Vertex-Centric Programming Model 3: Vertex-Centric Message Passing (Pregel-like) Systems 4: Vertex-Centric Message-Passing Systems Beyond Pregel 5: Vertex-Centric Systems with Shared Memory Abstraction PART II Beyond Vertex-Centric Programming Model 6: Matrix Algebra-Based Systems 7: Subgraph-Centric Programming Models 8: DBMS-Inspired Systems PART III Miscellaneous Issues 9: More on Single-Machine Systems 10: Hardware-Accelerated Systems 11: Temporal and Streaming Graph Analytics 12: Conclusions and Future Directions BibliographyReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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