DistOS 2014W Lecture 19: Difference between revisions

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* Dynamo
* Dynamo


* Key value-store.
*Key value-store.
-*Build a distributed storage system:
*Build a distributed storage system:
*Scale
*Scale
*Simple: key-value
*Simple: key-value
Line 17: Line 17:
*Each data item is replicated at N hosts.
*Each data item is replicated at N hosts.
*“preference list”: The list of nodes that is responsible for storing a particular key.
*“preference list”: The list of nodes that is responsible for storing a particular key.
* Sacrifice strong consistency for availability
* it work with 100 servers,it is not more big.
*Bigtable
* BigTable is a distributed storage system for managing structured data.
* Designed to scale to a very large size
* it stores the column together ,the raw is web pages and the column is the contents

Revision as of 14:43, 20 March 2014

  • Dynamo
  • Key value-store.
  • Build a distributed storage system:
  • Scale
  • Simple: key-value
  • Highly available
  • Guarantee Service Level Agreements (SLA).
  • high concurrent.
  • no dynamic routing.
  • 0-hop DHT: means it is doe not have information when deliver packet from node to another , it has direct link to the destination
  • Dynamo sacrifices consistency under certain failure scenarios.
  • it has partition algorithm.
  • Consistent hashing: the output range of a hash function is treated as a fixed circular space or “ring”.
  • Key is linear and the nodes is partition.
  • ”Virtual Nodes”: Each node can be responsible for more than one virtual node.
  • Each data item is replicated at N hosts.
  • “preference list”: The list of nodes that is responsible for storing a particular key.
  • Sacrifice strong consistency for availability
  • it work with 100 servers,it is not more big.
  • Bigtable
  • BigTable is a distributed storage system for managing structured data.
  • Designed to scale to a very large size
  • it stores the column together ,the raw is web pages and the column is the contents