Data Intensive Distributed Computing: Challenges and Solutions for Large-scale Information Management
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Home > Computing and Information Technology > Information technology: general topics > Data Intensive Distributed Computing: Challenges and Solutions for Large-scale Information Management: (Advances in Systems Analysis, Software Engineering, and High Performance Computing)
Data Intensive Distributed Computing: Challenges and Solutions for Large-scale Information Management: (Advances in Systems Analysis, Software Engineering, and High Performance Computing)

Data Intensive Distributed Computing: Challenges and Solutions for Large-scale Information Management: (Advances in Systems Analysis, Software Engineering, and High Performance Computing)


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About the Book

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.

About the Author :
Tevfik Kosar is an Associate Professor of Computer Science and Engineering at University at Buffalo (SUNY). He holds a Ph.D. degree in Computer Science from University of Wisconsin-Madison under the guidance of Prof. Miron Livny. Dr. Kosar's main research interests lie in the cross-section of petascale distributed systems, eScience, Grids, Clouds, and collaborative computing with a focus on large-scale data- intensive distributed applications. He is the primary designer and developer of the Stork distributed data scheduling system which has been adopted by many national and international institutions, and the lead investigator of the state-wide PetaShare distributed storage network in Louisiana. He has published more than fifty academic papers in leading journals and conferences. Some of the awards received by Dr. Kosar include NSF CAREER Award (for his work on “data-aware distributed computing”), LSU Rainmaker Award, LSU Flagship Faculty Award, Baton Rouge Business Report’s Top 40 Under 40 Award, 1012 Corridor’s Young Scientist Award, College of Basic Science’s Research Award, and CCT Faculty of the Year Award. Dr. Kosar’s work on data intensive computing has been funded by NSF, DOE, ONR, DoEd, SURA, and Louisiana Board of Regents.


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Product Details
  • ISBN-13: 9781613505229
  • Publisher: IGI Global
  • Publisher Imprint: Information Science Reference
  • Height: 279 mm
  • No of Pages: 352
  • Width: 216 mm
  • ISBN-10: 1613505221
  • Publisher Date: 31 Jan 2012
  • Binding: SA
  • Language: English
  • Series Title: Advances in Systems Analysis, Software Engineering, and High Performance Computing


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