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.
Reviews and Testimonials
...experts on data intensive computing discuss the challenges imposed by data-intensive applications on distributed systems, and present state-of-the-art solutions proposed to overcome these challenges.
– Tevfik Kosar State University of New York at Buffalo (SUNY), USA
With many books on the market already addressing the large spectrum of big data-related topics, Data Intensive Distributed Computing manages to address the underlying research and technology issues from an original and new viewpoint. The topics addressed are highly relevant to researchers working on data-intensive computing or projects related to developing more efficient data-intensive platforms. [...]
– Radu State, Computing Reviews,
This book is a unified reference and introduction to some of the most relevant research approaches. I do miss a more pragmatic and hands-on introduction to the available implementations and usage scenarios, but the fundamental results and background information on many of the inherent data-intensive architectures make it recommended reading for academic researchers and graduate-level students.