Non-Volatile Memory Database Management Systems by Joy Arulraj
This book explores the implications of non-volatile memory (NVM) for database management systems (DBMSs). With NVM, many of the components of legacy DBMSs are unnecessary and will degrade the performance of data-intensive applications. We present the design and implementation of DBMS architectures that are explicitly tailored for NVM.-
Datalog and Logic Databases
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Blockchain-Enabled Large-Scale Transaction Management
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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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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
Joy Arulraj is an Assistant Professor of Database Systems in the School of Computer Scienceat Georgia Institute of Technology. His doctoral research focused on the design and implementation of non-volatile memory database management systems. He is a member of the DatabaseGroup and the Center for Experimental Research in Computer Systems at Georgia Tech. His work is also in collaboration with the Intel Science and Technology Center for Big Data, Microsoft Research, and Samsung Research.Andrew Pavlo is an Assistant Professor of Databaseology in the Computer Science Department at Carnegie Mellon University. At CMU, he is a member of the Database Group and the Parallel Data Laboratory. His work is also in collaboration with the Intel Science and Technology Center for Big Data.
| SKU | Unavailable |
| ISBN 13 | 9783031007408 |
| ISBN 10 | 3031007409 |
| Title | Non-Volatile Memory Database Management Systems |
| Author | Joy Arulraj |
| Series | Synthesis Lectures On Data Management |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer International Publishing AG |
| Year published | 2019-02-12 |
| Number of pages | 173 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |