
Blockchain-Enabled Large-Scale Transaction Management by Mohammad Javad Amiri
This book offers a thorough overview of permissioned blockchain systems, emphasizing how they can tackle key challenges in large-scale transaction management systems. Modern transaction systems operate in untrustworthy environments where numerous distrustful entities interact while maintaining data on untrusted infrastructure. By relying on Byzantine fault-tolerant protocols, permissioned blockchain systems have enabled a large class of distributed applications. The presentation focuses on four critical requirements: performance, scalability, confidentiality, and verifiability, which are crucial for effective blockchain operations. Throughout the book, various techniques are explored to address these requirements. The goal is to enhance understanding of the fundamental issues in transaction processing and present techniques that facilitate efficient large-scale transaction management system development in untrusted environments. The practicality of these techniques is highlighted through real-world applications.
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Datalog and Logic Databases
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Query Processing over Incomplete Databases
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On Uncertain Graphs
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Big Data Integration
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An Introduction to Duplicate Detection
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Full-Text (Substring) Indexes in External Memory
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Data-Intensive Workflow Management
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Database Replication
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Data Protection from Insider Threats
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Transaction Processing on Modern Hardware
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Multidimensional Databases and Data Warehousing
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Scalable Processing of Spatial-Keyword Queries
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Generating Plans from Proofs
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Query Processing over Uncertain Databases
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Probabilistic Ranking Techniques in Relational Databases
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Relational and XML Data Exchange
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The Four Generations of Entity Resolution
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Advanced Metasearch Engine Technology
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Privacy-Preserving Data Publishing
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Data Profiling
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Non-Volatile Memory Database Management Systems
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Skylines and Other Dominance-Based Queries
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Peer-to-Peer Data Management
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Web Page Recommendation Models
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Cloud-Based RDF Data Management
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User-Centered Data Management
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Uncertain Schema Matching
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Data Exploration Using Example-Based Methods
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Querying Graphs
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Access Control in Data Management Systems
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Keyword Search in Databases
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Community Search over Big Graphs
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Human Interaction with Graphs
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Data Management in Machine Learning Systems
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Natural Language Data Management and Interfaces
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Data Cleaning
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Blockchains
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Fault-Tolerant Distributed Transactions on Blockchain
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Similarity Joins in Relational Database Systems
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Query Answer Authentication
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Semantics Empowered Web 3.0
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Foundations of Data Quality Management
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Business Processes
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Information and Influence Propagation in Social Networks
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Incomplete Data and Data Dependencies in Relational Databases
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Deep Web Query Interface Understanding and Integration
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Probabilistic Databases
Mohammad Javad Amiri is an Assistant Professor in the Department of Computer Science at Stony Brook University. Before joining Stony Brook, he was a postdoctoral researcher in the Computer and Information Science department at the University of Pennsylvania. He received his Ph.D. in Computer Science at the University of California, Santa Barbara. His research mainly lies at the intersection of data management and distributed systems, focusing on distributed transaction processing, consensus protocols, and blockchains.
Divyakant Agrawal is a Distinguished Professor of Computer Science at the University of California, Santa Barbara. Over the course of his career, he has published more than 400 research articles and has mentored approximately 50 Ph.D. students. He serves as Editor-in-Chief of the Springer journal on Distributed and Parallel Databases and has either served or is serving on several Editorial Boards, including for ACM Transactions on Databases, IEEE Transactions on Data and Knowledge Engineering, ACM Transactions on Spatial Algorithms and Systems, ACM Books, and The VLDB Journal. He is currently serving as the Chair of ACM Special Interest Group on Management of Data (SIGMOD). He is a Fellow of the ACM, the IEEE, and the AAAS.
Amr El Abbadi is a Distinguished Professor of Computer Science at the University of California, Santa Barbara. Professor El Abbadi is an ACM Fellow, AAAS Fellow, and IEEE Fellow. He has served as a journal editor for several database journals and has been Program Chair for multiple databases and distributed systems conferences. He has published over 400 articles on databases and distributed systems and has supervised more than 40 Ph.D.
| SKU | Unavailable |
| ISBN 13 | 9783031910579 |
| ISBN 10 | 3031910575 |
| Title | Blockchain-Enabled Large-Scale Transaction Management |
| Author | Mohammad Javad Amiri |
| Series | Synthesis Lectures On Data Management |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer International Publishing AG |
| Year published | 2025-06-10 |
| Number of pages | 172 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |














































