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標(biāo)題: Titlebook: Building a Columnar Database on RAMCloud; Database Design for Christian Tinnefeld Book 2016 Springer International Publishing Switzerland [打印本頁]

作者: 滋養(yǎng)物質(zhì)    時間: 2025-3-21 16:21
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作者: Obsessed    時間: 2025-3-21 21:49
978-3-319-37389-8Springer International Publishing Switzerland 2016
作者: Hyperalgesia    時間: 2025-3-22 01:25
Building a Columnar Database on RAMCloud978-3-319-20711-7Series ISSN 2196-8055 Series E-ISSN 2196-8063
作者: conjunctivitis    時間: 2025-3-22 07:19
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.
作者: 青少年    時間: 2025-3-22 11:38
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.
作者: 猛然一拉    時間: 2025-3-22 15:05
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.
作者: 吹氣    時間: 2025-3-22 20:01
System ArchitectureIn order to address the research questions as formulated in Sect.?., we have to define a system architecture that meets the following requirements.
作者: Infant    時間: 2025-3-23 00:59

作者: integral    時間: 2025-3-23 03:38
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
作者: 讓步    時間: 2025-3-23 08:55
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
作者: prediabetes    時間: 2025-3-23 13:34

作者: HAVOC    時間: 2025-3-23 16:04

作者: 和平    時間: 2025-3-23 20:33
Yves Métivier,Nasser Saheb,Akka Zemmarimapping, column partitioning, and the design of the operators itself. We first derive an abstract system model which is later used to predict execution costs analytically for different scenarios. Afterwards, we use our cost model to evaluate operator push-down and data pull execution strategies and
作者: Buttress    時間: 2025-3-24 00:20
Gilbert Labelle,Cédric Lamathe,Pierre Lerouxrent operator execution strategies (data pull vs. operator push). Two different workloads are being used: an analytical workload consisting of the Star Schema Benchmark in Sect.?. and a mixed workload based on point-of-sales customer data from a large European retailer in Sect.?.. The used hardware
作者: Dissonance    時間: 2025-3-24 03:13

作者: 駕駛    時間: 2025-3-24 07:28
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.
作者: Forage飼料    時間: 2025-3-24 12:09
Mathematics and Computer Science IIIof minimizing network traffic and thereby preserve the main memory performance advantage (as discussed in Chap.?.). 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
作者: 期滿    時間: 2025-3-24 15:14

作者: 廢止    時間: 2025-3-24 19:55
In-Memory Data Management Researchhttp://image.papertrans.cn/b/image/191809.jpg
作者: 散步    時間: 2025-3-25 00:21
Elasticity EvaluationDB 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.
作者: superfluous    時間: 2025-3-25 06:18
Book 2016red-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 preser
作者: Bombast    時間: 2025-3-25 08:59
2196-8055 rallel main memory DBMS based on shared-storage.Provides a sThis 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
作者: 使閉塞    時間: 2025-3-25 12:11

作者: 注射器    時間: 2025-3-25 18:16
High-Availability Evaluationdata from the to-be-removed node before its actual revocation. This kind of awareness cannot be expected in the event of a hardware failure. For the scenario of an unexpected hardware failure, RAMCloud features a fast crash recovery mechanism [ORS.11] as explained in Sect.?..
作者: Genetics    時間: 2025-3-25 23:44

作者: syncope    時間: 2025-3-26 01:04
Operator Execution on One Relationshow how the cost model can be used to decide on different execution strategies. We start with operators that operate on one relation at a time, continuing with two or more relations in the next chapter.
作者: Organonitrile    時間: 2025-3-26 05:42
Performance Evaluationis the same as in the previous part. Each node has an Intel Xeon X3470 CPU, 24GB DDR3 DRAM, and a Mellanox ConnectX-2 InfiniBand HCA network interface card with the nodes connected via a 36-port Mellanox InfiniScale IV (4X QDR) switch.
作者: 作嘔    時間: 2025-3-26 10:58

作者: jaundiced    時間: 2025-3-26 13:38
Yves Métivier,Nasser Saheb,Akka Zemmarishow how the cost model can be used to decide on different execution strategies. We start with operators that operate on one relation at a time, continuing with two or more relations in the next chapter.
作者: 飾帶    時間: 2025-3-26 20:08

作者: 無價值    時間: 2025-3-26 22:25

作者: agitate    時間: 2025-3-27 02:44

作者: 解凍    時間: 2025-3-27 09:14
Mathematics and Computer Science III—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.
作者: 熔巖    時間: 2025-3-27 09:45

作者: Ingenuity    時間: 2025-3-27 15:53
Data Processingtion list as input if the to be processed column is not materialized yet. Similar to the input, the output can also be a materialized column or just a position list. A database table from an operator’s perspective is just a collection of columns.
作者: ADOPT    時間: 2025-3-27 18:11
Conclusions—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.
作者: 卷發(fā)    時間: 2025-3-28 00:49

作者: 壕溝    時間: 2025-3-28 05:26

作者: 財產(chǎn)    時間: 2025-3-28 07:04

作者: surmount    時間: 2025-3-28 11:09
Data Processingn(s) . and/or (a) position list(s) .. Each operator . evaluates a condition . and outputs a single value or column(s) or a position list. A position list can be seen as a filter on a column, as it references a subset of the total entries in a column. Since AnalyticsDB applies the pattern of late mat
作者: 使迷惑    時間: 2025-3-28 18:16
Operator Execution on One Relationmapping, column partitioning, and the design of the operators itself. We first derive an abstract system model which is later used to predict execution costs analytically for different scenarios. Afterwards, we use our cost model to evaluate operator push-down and data pull execution strategies and
作者: Abrupt    時間: 2025-3-28 19:48

作者: Obedient    時間: 2025-3-29 00:28

作者: 罐里有戒指    時間: 2025-3-29 05:16

作者: ingrate    時間: 2025-3-29 10:11

作者: Fantasy    時間: 2025-3-29 14:16

作者: jaundiced    時間: 2025-3-29 17:04
Book 2016orage 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.




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