Data Intensive Distributed Computing
Challenges and Solutions for Large-scale Information Management
Nonfiction, Computers, Advanced Computing, Management Information Systems, Database Management, General Computing
| Author: | ISBN: | 9781466604704 | |
| Publisher: | IGI Global | Publication: | January 31, 2012 |
| Imprint: | Information Science Reference | Language: | English |
| Author: | |
| ISBN: | 9781466604704 |
| Publisher: | IGI Global |
| Publication: | January 31, 2012 |
| Imprint: | Information Science Reference |
| Language: | English |
The trend in scientific, as well as commercial, applications from a diverse range of fields has been towards being more and more data-intensive over time. Data Intensive Distributed Computing: Challenges and Solutions for Large-scale Information Management focuses on the challenges of distributed systems imposed by data intensive applications and on the different state-of-the-art solutions proposed to overcome such challenges. Providing hints on how to manage low-level data handling issues when performing data intensive distributed computing, this publication is ideal for scientists, researchers, engineers, and application developers, alike. With the knowledge of the correct data management techniques for their applications, readers will be able to focus on their primary goal, assured that their data management needs are handled reliably and efficiently.
The trend in scientific, as well as commercial, applications from a diverse range of fields has been towards being more and more data-intensive over time. Data Intensive Distributed Computing: Challenges and Solutions for Large-scale Information Management focuses on the challenges of distributed systems imposed by data intensive applications and on the different state-of-the-art solutions proposed to overcome such challenges. Providing hints on how to manage low-level data handling issues when performing data intensive distributed computing, this publication is ideal for scientists, researchers, engineers, and application developers, alike. With the knowledge of the correct data management techniques for their applications, readers will be able to focus on their primary goal, assured that their data management needs are handled reliably and efficiently.
