Scientific Data Management | Challenges, Technology, and Deployment |

Book

Scientific Data Management

ABSTRACT

Dealing with the volume, complexity, and diversity of data currently being generated by scientific experiments and simulations often causes scientists to waste productive time. Scientific Data Management: Challenges, Technology, and Deployment describes cutting-edge technologies and solutions for managing and analyzing vast amounts of data, helping

TABLE OF CONTENTS

part |2 pages

Part I: Storage Technology and Efficient Storage Access

chapter 1|32 pages

Storage Technology

chapter 2|38 pages

Parallel Data Storage and Access

chapter 3|40 pages

Dynamic Storage Management

part |2 pages

Part II: Data Transfer and Scheduling

chapter 4|36 pages

Coordination of Access to Large-Scale Datasets in Distributed Environments

chapter 5|30 pages

High-Throughput Data Movement

part |2 pages

Part III: Specialized Retrieval Techniques and Database Systems

chapter 6|52 pages

Accelerating Queries on Very Large Datasets

chapter 7|44 pages

Emerging Database Systems in Support of Scientiﬁc Data

part |2 pages

Part IV: Data Analysis, Integration, and Visualization Methods

chapter 8|44 pages

Scientiﬁc Data Analysis

chapter 9|44 pages

Scientiﬁc Data Management Challenges in High-Performance Visual Data Analysis

chapter 10|30 pages

Interoperability and Data Integration in the Geosciences

chapter 11|32 pages

Analyzing Data Streams in Scientiﬁc Applications

part |2 pages

Part V: Scientific Process Management

chapter 12|34 pages

Metadata and Provenance Management

chapter 13|42 pages

Scientiﬁc Process Automation and Workﬂow Management

chapter |6 pages

Conclusions and Future Outlook