找回密碼
 To register

QQ登錄

只需一步，快速開(kāi)始

掃一掃，訪(fǎng)問(wèn)微社區(qū)

打印 上一主題 下一主題

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

[復(fù)制鏈接]
查看: 12777|回復(fù): 46
樓主
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
The information of publication is updating

書(shū)目名稱(chēng)Building a Columnar Database on RAMCloud影響因子(影響力)




書(shū)目名稱(chēng)Building a Columnar Database on RAMCloud影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Building a Columnar Database on RAMCloud網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Building a Columnar Database on RAMCloud網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Building a Columnar Database on RAMCloud被引頻次




書(shū)目名稱(chēng)Building a Columnar Database on RAMCloud被引頻次學(xué)科排名




書(shū)目名稱(chēng)Building a Columnar Database on RAMCloud年度引用




書(shū)目名稱(chēng)Building a Columnar Database on RAMCloud年度引用學(xué)科排名




書(shū)目名稱(chēng)Building a Columnar Database on RAMCloud讀者反饋




書(shū)目名稱(chēng)Building a Columnar Database on RAMCloud讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics
 

0票 0%

Better Implies Difficulty
 

0票 0%

Good and Satisfactory
 

0票 0%

Adverse Performance
 

0票 0%

Disdainful Garbage
您所在的用戶(hù)組沒(méi)有投票權(quán)限
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
板凳
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.
5#
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.
6#
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.
7#
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.
8#
發(fā)表于 2025-3-23 00:59:20 | 只看該作者
9#
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
10#
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
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-14 05:17
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
萨嘎县| 乌兰察布市| 丁青县| 灵川县| 平利县| 滨州市| 澄迈县| 菏泽市| 乌鲁木齐县| 顺义区| 巴彦县| 阿巴嘎旗| 吉安市| 岳阳县| 南宁市| 甘肃省| 翁牛特旗| 榆林市| 阿克陶县| 右玉县| 阜阳市| 丹棱县| 南京市| 兴海县| 临猗县| 光泽县| 富源县| 枣阳市| 江城| 陆良县| 营口市| 郁南县| 永年县| 高要市| 临西县| 光泽县| 南川市| 临夏市| 舒城县| 洪雅县| 康平县|