'Chunk server' diaporamas de présentation

Lecture 5: MapReduce

CS425: Algorithms for Web Scale Data. Lecture 5: MapReduce. Most of the slides are from the Mining of Massive Datasets book. These slides have been modified for CS425. The original slides can be accessed at: www.mmds.org. MapReduce. Challenges of large scale computing:

825 views • 82 slides

Large Scale File Systems

Large Scale File Systems. by Dale Denis. The need for Large Scale File Systems. Big Data. The Network File System (NFS ). The use of inexpensive commodity hardware. Large Scale File Systems. The Google File System (GFS). The Hadoop File System (HDFS). Outline.

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Map-Reduce and the New Software Stack

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Cloud Scale Storage Systems

Cloud Scale Storage Systems. Sean Ogden October 30, 2013. Evolution. P2P routing/DHTs (Chord, CAN, Pastry, etc.) P2P Storage (Pond, Antiquity) Storing Greg's baby pictures on machines of untrusted strangers that are connected with wifi Cloud storage

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File Systems for the Cloud

COS 497 - Cloud Computing. File Systems for the Cloud. Cloud File Systems Traditional distributed file systems (DFSs) need modifications for the Cloud. Like in traditional DFSs, Cloud needs ... - P erformance - S calability - R eliability - A vailability But there are d ifferences :

520 views • 37 slides

The Google File System

The Google File System. Sanjay Ghemawat, Howard Gobioff, Shun-Tak Leung Google SOSP 2003 (19th ACM S ymposium on O perating S ystems P rinciples ). Contents. Introduction GFS Design Measurements Conclusion. Introduction(1/2). What is File System?

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Google File System (GFS)

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Google File System

Google File System. Assumptions. GFS built with commodity hardware GFS stores a modest number of large files A few million files, each typically 100MB or larger (Multi-GB files are common) No need to optimize for small files Workloads

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Google File System

Google File System. Sanjay Ghemawat , Howard Gobioff , and Shun- Tak Leung Google∗. Overview. NFS Introduction-Design Overview Architecture System Interactions Master Operations Fault tolerance Conclusion. NFS. Is build RPC’s Low performance Security Issues. Introduction.

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GFS

GFS. - Slides by Jatin. Idealogy. Huge amount of data Ability to efficiently access data Large quantity of Cheap machines Component failures are the norm rather than the exception Atomic append operation so that multiple clients can append concurrently. Files in GFS.

400 views • 18 slides