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Data-intensive computing
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281	Foreword This collection of papers is the first volume to explore the rapidly evolving role of cloud computing in scientific data analytics. This topic is important because almost every field of science is now data driv Add to Reading List Source URL: www.andyli.ece.ufl.edu Language: English - Date: 2014-12-08 11:01:31 Data management Business intelligence Emerging technologies Cloud computing Analytics Big data Data analysis Learning analytics Data Intensive Computing Science Formal sciences Technology
282	Challenges and Approaches for Distributed Workflow-Driven Analysis of Large-Scale Biological Data [Vision Paper] ⇤ Ilkay Altintas, Jianwu Wang, and Add to Reading List Source URL: www.edbt.org Language: English - Date: 2012-03-19 16:25:44 Computing Scientific workflow system Kepler scientific workflow system Workflow Data Intensive Computing MapReduce Bioinformatics Apache Hadoop Bioinformatics workflow management systems Workflow technology Science Application software
283	Dagstuhl Seminars and Dagstuhl Perspectives Workshops Relevant for the Public October 2014 – March 2016 Throughout the year Schloss Dagstuhl invites scientists from all over the world to the northern part of Saarland t Add to Reading List Source URL: www.dagstuhl.de Language: English - Date: 2014-09-23 06:54:27 Distributed computing Dagstuhl Leibniz-Gemeinschaft Gottfried Wilhelm Leibniz Scientific Community Cloud computing Data Intensive Computing Data mining Smart grid Computer science Computing Emerging technologies Concurrent computing
284	Simple Testing Can Prevent Most Critical Failures: An Analysis of Production Failures in Distributed Data-Intensive Systems Ding Yuan, Yu Luo, Xin Zhuang, Guilherme Renna Rodrigues, Xu Zhao, Yongle Zhang, Pranay U. Jain, Add to Reading List Source URL: www.usenix.org Language: English - Date: 2015-02-13 19:57:04 Fault-tolerant computer systems Failure Systems engineering Design for X Apache Hadoop Cloud computing Consensus Software bug Reliability engineering Computing Software engineering Concurrent computing
285	CONFERENCE PROGRAM Wednesday 4th March[removed]:30 Registration 9:30 Opening 10:00 Keynote 1 Add to Reading List Source URL: www.pdp2015.org Language: English - Date: 2015-02-04 08:57:16 Electronics Graphics hardware GPGPU Emerging technologies Video cards Network On Chip Multi-core processor Distributed computing Data Intensive Computing Computing Concurrent computing Parallel computing
286	Simple testing can prevent most critical failures -- An analysis of production failures in distributed data-intensive systems Ding Yuan, Yu Luo, Xin Zhuang, Guilherme Rodrigues, Xu Zhao, Yongle Zhang, Pranay U. Jain and Add to Reading List Source URL: www.usenix.org Language: English - Date: 2014-11-19 15:34:36 Engineering Apache Hadoop Cloud computing Cloud infrastructure Slave Structural failure Catastrophic failure Construction Failure Systems engineering
287	CASE STUDY Intel® Cache Acceleration Software Performance: Data-Intensive Computing Non-Volatile Memory Solutions Group Turn Hot Data into Business Intelligence Faster Add to Reading List Source URL: i.crn.com Language: English - Date: 2015-02-09 09:44:05 Computing Solid-state drive Microsoft SQL Server Hybrid array Computer hardware Relational database management systems Intel
288	Title: Globus and Data Grids: Services and Tools for Distributed Data-Intensive Add to Reading List Source URL: www.mcs.anl.gov Language: English - Date: 2009-03-05 10:52:01 Access control Globus Toolkit Job scheduler Grid computing Computing Security Computer security Authorization
289	Beyond Striping: The Bridge Multiprocessor File System Peter C. Dibble and Michael L. Scott Computer Science Department Add to Reading List Source URL: www.cs.rochester.edu Language: English - Date: 2011-03-26 00:11:05 Concurrent computing Parallel computing External sorting Merge sort File system Linux From Scratch SIMD Stream processing Data Intensive Computing Computing Sorting algorithms Computer programming
290	Learning Based Opportunistic Admission Control Algorithm for MapReduce as a Service Jaideep Dhok Nitesh Maheshwari Add to Reading List Source URL: researchweb.iiit.ac.in Language: English - Date: 2009-12-06 13:14:00 Cloud infrastructure Parallel computing Distributed computing architecture Web services Apache Hadoop Data Intensive Computing MapReduce Amazon S3 Computer cluster Computing Cloud computing Concurrent computing

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