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Building a Columnar Database on RAMCloudConclusions

Building a Columnar Database on RAMCloud: Conclusions [Current state-of-the-art parallel main memory DBMSs are designed according to the principles of a shared-nothing architecture driven by the intention of minimizing network traffic and thereby preserve the main memory performance advantage (as discussed in Chap. 2). The advent of RDMA-enabled network technology makes the creation of a parallel main memory DBMS based on a shared-storage technology feasible. A modern storage system such as RAMCloud keeps all data resident in main memory, provides durability, high-availability and is elastic: exploiting these characteristics in the context of a database management system is desirable. Nowadays, provisioning of information technology infrastructure over the Internet—including in-memory computing—allows the service providers to leverage the economies of scale and offer their services at an unbeatable price point. Being able to utilize hosted main memory-based storage for operating a database system makes in-memory data management even more economically viable.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Building a Columnar Database on RAMCloudConclusions

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Publisher
Springer International Publishing
Copyright
© Springer International Publishing Switzerland 2016
ISBN
978-3-319-20710-0
Pages
111 –112
DOI
10.1007/978-3-319-20711-7_11
Publisher site
See Chapter on Publisher Site

Abstract

[Current state-of-the-art parallel main memory DBMSs are designed according to the principles of a shared-nothing architecture driven by the intention of minimizing network traffic and thereby preserve the main memory performance advantage (as discussed in Chap. 2). The advent of RDMA-enabled network technology makes the creation of a parallel main memory DBMS based on a shared-storage technology feasible. A modern storage system such as RAMCloud keeps all data resident in main memory, provides durability, high-availability and is elastic: exploiting these characteristics in the context of a database management system is desirable. Nowadays, provisioning of information technology infrastructure over the Internet—including in-memory computing—allows the service providers to leverage the economies of scale and offer their services at an unbeatable price point. Being able to utilize hosted main memory-based storage for operating a database system makes in-memory data management even more economically viable.]

Published: Jul 8, 2015

Keywords: Query Processing; Main Memory; Database Management System; Database Operator; Operator Execution

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