Building a Columnar Database on RAMCloud : Database Design for the Low-Latency Enabled Data Center / / by Christian Tinnefeld

• Record Nr.: UNINA9910254942203321
• Autore: Tinnefeld Christian
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
• ISBN: 3-319-20711-3
• Edizione: [1st ed. 2016.]
• Descrizione fisica: 1 online resource (139 p.)
• Collana: In-Memory Data Management Research, , 2196-8055
• Disciplina: 005.74
• Soggetti: Management information systems; Database management; Computer storage devices; Data structures (Computer science); Business IT Infrastructure; Database Management; Memory Structures; Data Storage Representation
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: Part I: A Database System Architecture for a Shared Main Memory-Based Storage -- Part II: Database Operator Execution on a Shared Main Memory-Based Storage -- Part III: Evaluation -- Part IV: Conclusions.
• Sommario/riassunto: This book examines the field of parallel database management systems and illustrates the great variety of solutions based on a shared-storage or a shared-nothing architecture. Constantly dropping memory prices and the desire to operate with low-latency responses on large sets of data paved the way for main memory-based parallel database management systems. However, this area is currently dominated by the shared-nothing approach in order to preserve the in-memory performance advantage by processing data locally on each server. The main argument this book makes is that such an unilateral development will cease due to the combination of the following three trends: a) Today’s network technology features remote direct memory access (RDMA) and narrows the performance gap between accessing main ; memory on a server and of a remote server to and even below a single order of magnitude. b) Modern storage systems scale gracefully, are elastic, and provide high-availability. c) A modern storage system such as Stanford’s RAMCloud even keeps all data resident in the main memory. Exploiting these characteristics in the context of a main memory-based parallel database management system is desirable. The book demonstrates that the advent of RDMA-enabled network technology makes the creation of a parallel main memory DBMS based on a shared-storage approach feasible.