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Titlebook: Building a Columnar Database on RAMCloud; Database Design for Christian Tinnefeld Book 2016 Springer International Publishing Switzerland

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發(fā)表于 2025-3-21 16:21:43 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Building a Columnar Database on RAMCloud
期刊簡(jiǎn)稱(chēng)Database Design for
影響因子2023Christian Tinnefeld
視頻videohttp://file.papertrans.cn/192/191809/191809.mp4
發(fā)行地址Comprehensively analyzes existing and new solutions for disk-based parallel database management systems.Demonstrates the feasibility of a parallel main memory DBMS based on shared-storage.Provides a s
學(xué)科分類(lèi)In-Memory Data Management Research
圖書(shū)封面Titlebook: Building a Columnar Database on RAMCloud; Database Design for Christian Tinnefeld Book 2016 Springer International Publishing Switzerland
影響因子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 RAM Cloud 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.
Pindex Book 2016
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沙發(fā)
發(fā)表于 2025-3-21 21:49:47 | 只看該作者
978-3-319-37389-8Springer International Publishing Switzerland 2016
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發(fā)表于 2025-3-22 01:25:25 | 只看該作者
Building a Columnar Database on RAMCloud978-3-319-20711-7Series ISSN 2196-8055 Series E-ISSN 2196-8063
地板
發(fā)表于 2025-3-22 07:19:57 | 只看該作者
Distribution of WHT RecurrencesDB nodes. In this chapter we want to put the pieces together by maintaining a constant query execution time by resizing the RAMCloud cluster online under a changing load which is represented by a varying amount of AnalyticsDB nodes executing the Star Schema Benchmark.
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發(fā)表于 2025-3-22 11:38:31 | 只看該作者
S. Gemmrich,N. Nigam,O. SteinbachIn order to address the research questions as formulated in Sect.?., we have to define a system architecture that meets the following requirements.
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發(fā)表于 2025-3-22 15:05:00 | 只看該作者
Generalized Pattern Matching StatisticsThe previous Chapter describes the possibility of pushing-down the execution of database operators into RAMCloud, but the corresponding model is limited to operating on a single database column or relation at a time. This is practical for the execution of a scan operation, but necessitates breaking up a join operation into two separate operations.
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發(fā)表于 2025-3-22 20:01:54 | 只看該作者
System ArchitectureIn order to address the research questions as formulated in Sect.?., we have to define a system architecture that meets the following requirements.
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發(fā)表于 2025-3-23 03:38:58 | 只看該作者
Lecture Notes in Computer Sciencea collection of related data” and a DBMS as “a collection of programs that enables users to create and maintain a database. The DBMS is hence a general-purpose software system that facilitates the process of defining, constructing, manipulating, and sharing databases among various users and applicat
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發(fā)表于 2025-3-23 08:55:30 | 只看該作者
Developing Software for Dancing Tango in ,together in one chapter, giving the reader the advantage of understanding underlying concepts and getting to know the respective related work in one stroke.Each section and subsection is preceded by a short summary. Additional related work is presented where appropriate for example Chap.?. starts wi
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