FILE SYSTEMS Case Study GFS: Evolution on Fast-forward A discussion between Kirk McKusick and Sean Quinlan about the origin and evolution of the Google File System.

Source URL: web.eecs.umich.edu

The Google File System Sanjay Ghemawat, Howard Gobioff, and Shun-Tak Leung Google∗ ABSTRACT

Source URL: www.cs.utah.edu

The Geneline THE MONTHLY NEWSLETTER OF Amelia Island Genealogical Society

Source URL: aigensoc.org

• Computing
• Software
• Cloud computing
• Web applications
• Genealogy
• Kinship and descent
• Special folder
• Gmail
• Google
• File system
• Laptop
• Nassau County
• Florida

Benchmarking MapReduce Implementations for Application Usage Scenarios Zacharia Fadika 1 , Elif Dede 2 , Madhusudhan Govindaraju 3 , Lavanya Ramakrishnan‡ Grid and Cloud Computing Research Laboratory, Department of Com

Source URL: www.cs.binghamton.edu

• Computing
• Concurrent computing
• Parallel computing
• Apache Software Foundation
• Hadoop
• Cloud infrastructure
• Apache Hadoop
• Data-intensive computing
• MapReduce
• Computer cluster
• Pig
• Google File System

  BigTable   Tom  Anderson   (slides  from  Jeff  Dean  and  Dan  Ports)  

Source URL: courses.cs.washington.edu

• Parallel computing
• Distributed computing architecture
• Bigtable
• Google
• Google File System
• MapReduce
• Paxos
• Distributed lock manager
• Tablet computer
• Scalability
• Tablet
• Distributed file system for cloud

Microsoft Word - sosp067-decandia1.doc

Source URL: db.cs.berkeley.edu

• Distributed data storage
• NoSQL
• Cloud storage
• Data management
• Dynamo
• Distributed data store
• Chord
• Replication
• Consistent hashing
• Pastry
• Google File System
• Freenet

Flat Datacenter Storage Edmund B. Nightingale, Jeremy Elson, Jinliang Fan, Owen Hofmann∗, Jon Howell, and Yutaka Suzue Microsoft Research University of Texas at Austin∗

Source URL: nil.csail.mit.edu

• Fault-tolerant computer systems
• Data management
• RAID
• Computing
• Data synchronization
• Replication
• Computer data storage
• Storage area network
• Backup
• File system
• Google File System
• Apache Hadoop

DELMA: Dynamically ELastic MApReduce Framework for CPU-Intensive Applications Zacharia Fadika 1 , Madhusudhan Govindaraju 2 Department of Computer Science, State University of New York (SUNY) at Binghamton 1

Source URL: www.cs.binghamton.edu

• Parallel computing
• Apache Hadoop
• Data-intensive computing
• MapReduce
• Computer cluster
• Google File System
• Big data
• Jumbune
• Distributed file system for cloud

MARIANE: MApReduce Implementation Adapted for HPC Environments Zacharia Fadika, Elif Dede, Madhusudhan Govindaraju, Lavanya Ramakrishnan‡ Department of Computer Science, State University of New York (SUNY) at Binghamto

Source URL: www.cs.binghamton.edu

• Parallel computing
• Cloud infrastructure
• Hadoop
• Apache Software Foundation
• Apache Hadoop
• Data-intensive computing
• MapReduce
• IBM General Parallel File System
• Google File System
• Computer cluster
• MapR
• Clustered file system

Full-text File Disclosure FAQ What are the merits of disclosing full-text files? Publications registered in the T2R2 system can be found through search engines such as Google and Google Scholar. This provides better expo

Source URL: t2r2.star.titech.ac.jp