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Fast and Energy-Efficient OLAP Data Management on Hybrid Main Memory Systems

Ahmad Hassan, Dimitrios Nikolopoulos, Hans Vandierendonck
2019 IEEE transactions on computers  
Index Terms-Non-volatile memory, hybrid main memory, database management system !  ...  This paper studies the problem of efficiently utilizing hybrid memory systems, consisting of both Dynamic Random Access Memory (DRAM) and novel Non-Volatile Memory (NVM) in database management systems  ...  Hybrid memory systems typically have a fast and small component and a large and slow component, each with distinct energy consumption.  ... 
doi:10.1109/tc.2019.2919287 fatcat:dokvn7u3x5filpqpeozstwlqhq


Jags Ramnarayan, Kishor Bachhav, Barzan Mozafari, Sumedh Wale, Sudhir Menon, Neeraj Kumar, Hemant Bhanawat, Soubhik Chakraborty, Yogesh Mahajan, Rishitesh Mishra
2016 Proceedings of the 2016 International Conference on Management of Data - SIGMOD '16  
With SnappyData, an open source platform, we propose a unified engine for real-time operational analytics, delivering stream analytics, OLTP and OLAP in a single integrated solution.  ...  We show that SnappyData can exploit stateof-the-art approximate query processing techniques and a variety of data synopses.  ...  SYSTEM OVERVIEW System Architecture The storage layer is primarily in-memory and manages data in either row or column formats.  ... 
doi:10.1145/2882903.2899408 dblp:conf/sigmod/RamnarayanMWMKB16 fatcat:vb6l74kmpfgitmfgoj4vdloffa


Ismail Oukid, Daniel Booss, Wolfgang Lehner, Peter Bumbulis, Thomas Willhalm
2014 Proceedings of the Tenth International Workshop on Data Management on New Hardware - DaMoN '14  
. better scaling) More energy efficient than DRAM e.g.  ...  control (MVCC) • No transactional log Requirements: • Fast data recovery • Mixed OLTP and OLAP • A hybrid SCM-DRAM memory environment Overview of SOFORT (2) SOFORT: A Hybrid SCM-DRAM Storage  ... 
doi:10.1145/2619228.2619236 dblp:conf/damon/OukidBLBW14 fatcat:gkxu5uj4ijcujlyahpufjwbrmm

Blending OLAP Processing with Real-Time Data Streams [chapter]

João Costa, José Cecílio, Pedro Martins, Pedro Furtado
2011 Lecture Notes in Computer Science  
CEP and Databases share some characteristics but traditionally are treated as two separate worlds, one oriented towards real-time event processing and the later oriented towards long-term data management  ...  However many real-time data and business intelligence analysis do need to confront streaming data with long-term stored one.  ...  StreamNetFlux users pose queries and StreamNetFlux manages memory, machines, databases and CEP engines with top efficiency and scalability.  ... 
doi:10.1007/978-3-642-20152-3_36 fatcat:6gnrr6bjefhmlgrvskjmhclbiq

Report on the first international workshop on flash-based database systems (FlashDB 2011)

Xiaofeng Meng, Peiquan Jin, Wei Cao, Lihua Yue
2011 SIGMOD record  
Session B: Energy Efficiency & Hybrid Storage Energy efficiency is one of the key merits of flash memory.  ...  Such a hybrid system was implemented on the basis of SQLite and dual file systems (YAFFS2 and PRAMFS).  ... 
doi:10.1145/2034863.2034872 fatcat:nhopf5gnpja2xlegw2aqc6kxz4

In-memory Databases in Business Information Systems

Peter Loos, Jens Lechtenbörger, Gottfried Vossen, Alexander Zeier, Jens Krüger, Jürgen Müller, Wolfgang Lehner, Donald Kossmann, Benjamin Fabian, Oliver Günther, Robert Winter
2011 Business & Information Systems Engineering  
License and support costs could also become pivotal if companies consider hybrid strategies by combining existing classical databases and data warehouses with new in-memory stores for OLAP.  ...  Accordingly, in-memory technology offers a data management specialized for enterprise application systems to implement these requirements efficiently.  ... 
doi:10.1007/s12599-011-0188-y fatcat:jjojaaps35cv7ltez7mgqc4hjm

In-Memory Big Data Management and Processing: A Survey

Hao Zhang, Gang Chen, Beng Chin Ooi, Kian-Lee Tan, Meihui Zhang
2015 IEEE Transactions on Knowledge and Data Engineering  
In this survey, we aim to provide a thorough review of a wide range of in-memory data management and processing proposals and systems, including both data storage systems and data processing frameworks  ...  We also give a comprehensive presentation of important technology in memory management, and some key factors that need to be considered in order to achieve efficient in-memory data management and processing  ...  We would like to thank the anonymous reviewers, and also Bingsheng He, Eric Lo and Bogdan Marius Tudor, for their insightful comments and suggestions.  ... 
doi:10.1109/tkde.2015.2427795 fatcat:u7r3rtvhxbainfeazfduxcdwrm

Parallel data intensive computing in scientific and commercial applications

Mario Cannataro, Domenico Talia, Pradip K Srimani
2002 Parallel Computing  
usefulness of most systems.  ...  The purpose of this introductory article is to provide an overview of the main issues in parallel data intensive computing in scientific and commercial applications and to encourage the reader to go into  ...  Gerhard Joubert for many helpful suggestions that improved the contents and the presentation of this paper.  ... 
doi:10.1016/s0167-8191(02)00091-1 fatcat:qetjnt73xrbf3eil5p6suwx4ua

Growth of relational model: Interdependence and complementary to big data

Sucharitha Shetty, B. Dinesh Rao, Srikanth Prabhu
2021 International Journal of Power Electronics and Drive Systems (IJPEDS)  
of the hybrid transactional and analytical database management system.  ...  A database management system is a constant application of science that provides a platform for the creation, movement, and use of voluminous data.  ...  Indexing Relational model indexing [42] is a blessing for the database management system for fast and quick retrieval of data through bypassing the traversal of every row.  ... 
doi:10.11591/ijece.v11i2.pp1780-1795 fatcat:ltxgenbdwrebtheder6kpqtcjq

Boosting an Embedded Relational Database Management System with Graphics Processing Units

Samuel Cremer, Michel Bagein, Saïd Mahmoudi, Pierre Manneback
2016 Proceedings of the 5th International Conference on Data Management Technologies and Applications  
Concurrently, with the rise of Big Data systems, relational database management systems (RDBMS) are still widely exploited in servers, client devices, and even embedded inside end-user applications.  ...  The proposed solution, named CuDB, is an "In-Memory" Database System (IMDB) which attempts to exploit specificities of modern CPU / GPU architectures.  ...  These different works are more targeted to Big Data systems and do not encounter many of the issues of full relational database managements systems.  ... 
doi:10.5220/0005995701700175 dblp:conf/data/CremerBMM16 fatcat:q7ztd3uf5vbgtk6xankmykfgoa

Construing the big data based on taxonomy, analytics and approaches

Ajeet Ram Pathak, Manjusha Pandey, Siddharth Rautaray
2018 Iran Journal of Computer Science  
Every organization is inundated with colossal amount of data generated with high speed, requiring high-performance resources for storage and processing, special skills and technologies to get value out  ...  Big data have become an important asset due to its immense power hidden in analytics.  ...  In-memory versus on-disk databases In-memory database systems use computer's main memory to store data to provide faster response time.  ... 
doi:10.1007/s42044-018-0024-3 fatcat:teiovluolngepjyebzz2wnwjxu

Databases and hardware

Anastasia Ailamaki
2015 Proceedings of the VLDB Endowment  
In data management, system performance means acceptable response time and throughput on critical-path operations, ideally with scalability guarantees.  ...  Performance is improved with top-of-the line research on data processing algorithms; efficiency, however, is contingent on seamless collaboration between the database software and hardware and storage  ...  Given large main memories that can hold working sets of many applications, we have witnessed a flurry of main-memory-centric OLTP and OLAP system designs.  ... 
doi:10.14778/2824032.2824142 fatcat:ugl7ujexjng57fqbebzt3oecre

Instant loading for main memory databases

Tobias Mühlbauer, Wolf Rödiger, Robert Seilbeck, Angelika Reiser, Alfons Kemper, Thomas Neumann
2013 Proceedings of the VLDB Endowment  
But the game has changed: Ever increasing main memory capacities have fostered the development of in-memory database systems and very fast network infrastructures are on the verge of becoming economical  ...  Large main memory capacities and Instant Loading thereby facilitate a very efficient data staging processing model consisting of instantaneous load -work-unload cycles across data archives on a single  ...  The operating system uses the processor's memory management unit to implement efficient copy-on-update semantics for snapshotted pages.  ... 
doi:10.14778/2556549.2556555 fatcat:j2ig6anp2zfo5e5jkla7ucqxvm

Intelligent interactive system for collaborative green computing

Kuo-Ming Chao, Nazaraf Shah, Adriana Matei, Tomasz Zlamaniec, Weidong Li, Chi-Chun Lo, Yinsheng Li
2011 Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design (CSCWD)  
The system adopts concept of On-Line Analytical Process (OLAP) to summarise large volume of data generated from energy consumption monitoring sensors into a set of meaningful information for the intelligent  ...  Designing an effective and efficient intelligent interactive system for energy conservation in domestic environment requires considerable deliberations on tradeoffs of meeting the criteria derived from  ...  The database system used for managing the sensor data is Informix which provides efficient database access.  ... 
doi:10.1109/cscwd.2011.5960193 dblp:conf/cscwd/ChaoSMZLLL11 fatcat:6wxix2dzn5e7bbnivvbdi6znyi

iBig Hybrid Architecture for Energy IoT: When the Power of Indexing Meets Big Data Processing!

Houssem Chihoub, Christine Collet
2017 2017 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)  
These IoT data are critical towards more efficient management of energy resources and provides new levels of efficiency for business applications.  ...  . • Design of the new iBig hybrid architecture that combines Big Data processing frameworks with indexing for Energy IoT data management.  ... 
doi:10.1109/cloudcom.2017.38 dblp:conf/cloudcom/ChihoubC17 fatcat:m5krcnqgf5dhjhmu7we6leblcy
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