Byzantine Fault-Tolerant MapReduce: Faults Are Not Just Crashes Pedro Costa1 , Marcelo Pasin1 , Alysson N. Bessani1 , Miguel Correia2 1 Universidade de Lisboa, Faculdade de Ciˆencias, LASIGE – Lisboa, Portugal 2 Insti

Source URL: www.di.fc.ul.pt

• Computing
• Concurrent computing
• Hadoop
• Parallel computing
• Cloud infrastructure
• Apache Software Foundation
• Distributed computing architecture
• MapReduce
• Apache Hadoop
• Data-intensive computing
• State machine replication
• Byzantine fault tolerance

How Hadoop Clusters Break Ariel Rabkin and Randy Katz EECS Department, UC Berkeley Berkeley, California, USA {asrabkin,randy}@cs.berkeley.edu Abstract

Source URL: asrabkin.bitbucket.org

• Computing
• Hadoop
• Cloud infrastructure
• Apache Hadoop
• Cloudera
• MapReduce
• Apache HBase
• MapR
• Big data
• Apache Hive
• Data-intensive computing

Siddharth Suri www.sidsuri.com Research Statement There are two main threads to my research. Both focus on the study of networks, albeit using different techniques. I design algorithms for analyzing th

Source URL: www.sidsuri.com

• Concurrent computing
• Computing
• Parallel computing
• Software
• Distributed computing architecture
• MapReduce
• Apache Software Foundation
• Data-intensive computing
• Hadoop
• Apache Hadoop
• Crowdsourcing
• Jumbune

Cloud Technologies for Bioinformatics Applications Xiaohong Qiu1, Jaliya Ekanayake 1,2, Scott Beason1, Thilina Gunarathne1,2, Geoffrey Fox1,2 1 Pervasive Technology Institute, 2School of Informatics and Computing, Indian

Source URL: grids.ucs.indiana.edu

• Distributed computing architecture
• Dryad
• Microsoft Research
• Cloud computing
• Data Intensive Computing
• MapReduce
• Many-task computing
• Azure Services Platform
• Computer cluster
• Computing
• Concurrent computing
• Parallel computing

End-to-end Data-flow Parallelism for Throughput Optimization in High-speed Networks Esma Yildirim Data Intensive Distributed Computing Laboratory University at Buffalo (SUNY)

Source URL: research.cs.wisc.edu

CONCURRENCY AND COMPUTATION: PRACTICE AND EXPERIENCE Concurrency Computat.: Pract. Exper. 2000; 00:1–7 Prepared using cpeauth.cls [Version: v2.02] Virtual Data Grid Middleware Services for Data-Intensive Sci

Source URL: swift-lang.org

• Data integration
• Science
• Galaxy
• Workflow
• Geographic information system
• Software
• Discovery Net
• Kepler scientific workflow system
• Workflow technology
• Application software
• Grid computing

Center for Data-intensive Systems

Source URL: www-db.in.tum.de

• Database theory
• Mobile Web
• Google Maps
• Software
• Computing
• Database

Balanced Resource Allocations Across Multiple Dynamic MapReduce Clusters Bogdan Ghi¸t§ , Nezih Yigitbasi† , Alexandru Iosup§ , Dick Epema§ $ § $

Source URL: www.pds.ewi.tudelft.nl

• MapReduce
• Apache Hadoop
• Computer cluster
• Cluster analysis
• Job scheduler
• Data Intensive Computing
• Computing
• Concurrent computing
• Parallel computing

PRIMEBALL Parallel Processing Framework Benchmark, for BigData Applications in the Cloud Jaume Ferrarons, Mulu Adhana, Carlos Colmenares, Sandra Pietrowska, Fadila Bentayeb and J´erˆ ome Darmont

Source URL: www.tpc.org

• Parallel computing
• Lumi
• MapReduce
• Transaction Processing Performance Council
• Data Intensive Computing
• Cloud computing
• Benchmark
• Computing
• Concurrent computing
• Microarrays

Hadoop Data Access on Your Terms™ BlueTalon Solution Brief Are Data Access and Security Issues Slowing Your Adoption of Hadoop?

Source URL: bluetalon.com

• Cloud infrastructure
• Hadoop
• Apache Hadoop
• Parallel computing
• Emerging technologies
• MapR
• Big data
• Data Intensive Computing
• Computing
• Cloud computing
• Concurrent computing