data storage systems management (15 Ergebnisse)

Paperback. Zustand: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Paperback. Zustand: Brand New. 157 pages. 9.25x6.10x0.40 inches. In Stock.

Taschenbuch. Zustand: Neu. Reliable Data Management Framework for Flash Storage Systems | Access Patterns, Memory Operations, Performance Optimization | Sanam Shahla Rizvi | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639232554 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Taschenbuch. Zustand: Neu. 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 | Spyros Blanas (u. a.) | Taschenbuch | Lecture Notes in Computer Science | vii | Englisch | 2017 | Springer | EAN 9783319561103 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

paperback. Zustand: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Zustand: New. Print on Demand.

Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rizvi Sanam ShahlaSanam Shahla Rizvi, PhD in Information and Communication, Ajou University, South Korea.Flash memory is hugely been using for small handheld to large enterprise applications due to its attractive features. How.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Flash memory is hugely been using for small handheld to large enterprise applications due to its attractive features. However, flash hardware characteristics like erase-before-write and limited- erase-cycles are becoming big hurdle for researchers to provide reliable and performance oriented system softwares. The effective way to mitigate the impacts of flash drawbacks is to manage the data by its access patterns. But, as a side affect, such approach imposes the demand of high main memory space and lengthy time for initialization. This book provides the work toward reliable data management for NAND flash memory based storage systems. Empirical framework classifies data intellectually according to their access frequencies and proves the efficiency and effectiveness for data and memory management on all levels of system operations. Meticulous analytical discussions and comprehensive experimental results demonstrate the highly improved system performance achieved by considering the diverse natures of data.

Taschenbuch. Zustand: Neu. Exploring Database Management Systems in the Context of Medical Data | With a focus on efficient storage and retrieval | Vishal Goar | Taschenbuch | Englisch | 2023 | Scholars' Press | EAN 9786205524466 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The medical field has witnessed a surge in the importance of data, with medical data playing a crucial role in patient diagnosis and healthcare practices. It encompasses a wide range of information, including patient personal details, reports, and treatment records. The advent of technology has led to the generation of data in various formats, such as text, images, and videos. However, effectively storing and retrieving electronically generated medical data presents significant challenges. Data storage has always been a priority, and healthcare data is no exception. As healthcare data becomes increasingly digitized, its volume, velocity, and value continue to grow. Efficient management of this data is essential for practitioners, healthcare organizations, and patient well-being. Moreover, medical imaging technology has revolutionized the healthcare industry, enabling early disease detection and improved patient recovery. However, it generates massive amounts of semi-structured and unstructured visual data, necessitating advanced data models for efficient retention and retrieval. This research aims to evaluate different database management systems.