|
Showing 1 - 3 of
3 matches in All Departments
|
Data Management on New Hardware - 7th International Workshop on Accelerating Data Analysis and Data Management Systems Using Modern Processor and Storage Architectures, ADMS 2016 and 4th International Workshop on In-Memory Data Management and Analytics, IMDM 2016, New Delhi, India, September 1, 2016, Revised Selected Papers (Paperback, 1st ed. 2017)
Spyros Blanas, Rajesh Bordawekar, Tirthankar Lahiri, Justin Levandoski, Andrew Pavlo
|
R2,046
Discovery Miles 20 460
|
Ships in 10 - 15 working days
|
This book contains selected papers from the 7th International
Workshop on Accelerating Analytics and Data Management Systems
Using Modern Processor and Storage Architectures, ADMS 2016, and
the 4th International Workshop on In-Memory Data Management and
Analytics, IMDM 2016, held in New Dehli, India, in September 2016.
The joint Workshops were co-located with VLDB 2016. The 9 papers
presented were carefully reviewed and selected from 18 submissions.
They investigate opportunities in accelerating analytics/data
management systems and workloads (including traditional OLTP, data
warehousing/OLAP, ETL streaming/real-time, business analytics, and
XML/RDF processing) running memory-only environments, using
processors (e.g. commodity and specialized multi-core, GPUs and
FPGAs, storage systems (e.g. storage-class memories like SSDs and
phase-change memory), and hybrid programming models like CUDA,
OpenCL, and Open ACC. The papers also explore the interplay between
overall system design, core algorithms, query optimization
strategies, programming approaches, performance modeling and
evaluation, from the perspective of data management applications.
|
In Memory Data Management and Analysis - First and Second International Workshops, IMDM 2013, Riva del Garda, Italy, August 26, 2013, IMDM 2014, Hongzhou, China, September 1, 2014, Revised Selected Papers (Paperback, 2015 ed.)
Arun Jagatheesan, Justin Levandoski, Thomas Neumann, Andrew Pavlo
|
R1,742
Discovery Miles 17 420
|
Ships in 10 - 15 working days
|
This book constitutes the thoroughly refereed post conference
proceedings of the First and Second International Workshops on In
Memory Data Management and Analysis held in Riva del Garda, Italy,
August 2013 and Hangzhou, China, in September 2014. The 11 revised
full papers were carefully reviewed and selected from 18
submissions and cover topics from main-memory graph analytics
platforms to main-memory OLTP applications.
With growing memory sizes and memory prices dropping by a factor of
10 every 5 years, data having a "primary home" in memory is now a
reality. Main-memory databases eschew many of the traditional
architectural pillars of relational database systems that optimized
for disk-resident data. The result of these memory-optimized
designs are systems that feature several innovative approaches to
fundamental issues (e.g., concurrency control, query processing)
that achieve orders of magnitude performance improvements over
traditional designs. This monograph provides an overview of recent
developments in main-memory database systems. It covers five main
issues and architectural choices that need to be made when building
a high performance main-memory optimized database: data
organization and storage, indexing, concurrency control, durability
and recovery techniques, and query processing and compilation. The
monograph focuses on four commercial and research systems:
H-StoreA/oltDB, Hekaton, HyPer, and SAPHANA. These systems are
diverse in their design choices and form a representative sample of
the state of the art in main-memory database systems. It also
covers other commercial and academic systems, along with current
and future research trends.
|
You may like...
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
|