Transcript Single System Image Clustering

Single System Image Clustering
Source

http://foundries.sourceforge.net/clusters/ind
ex.pl?node_id=38692&lastnode_id=131
Types of Clusters

High Performance (HP)
– Beowulf
Load-leveling
 Web-service
 Storage
 Database
 High Availability (HA)

Characteristics
Constructed from standard computers, or
nodes without any shared physical memory
 There is an OS running on each node
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Purpose
HA (High Availability)
 HP (High Performance)
 Parallel processing
 Parallel web servicing

High Performance Clusters
Constructed to run parallel programs such
as weather simulations and data mining
 A master node typically drives the cluster

Load Leveling Clusters
Constructed to allow a user on one node to
spread his/her workload transparently
across multiple nodes
 Designed for computationally intensive
long running jobs that are not massively
parallel

Web-service Clusters
Load-leveling requests to a web site
 Often referred to as a farm, however
technology is developing that will allow
increased clustering capacity
 See the Linux Virtual Server (LVS) project

Storage Clusters

Supply parallel highly available access to
filesystem data
Database Clusters
Provide parallel and HA access to a
database
 Oracle Parallel Server (OPS)

High Availability Clusters
Often known as failover clusters
 When a failure is detected scripts are used
to fail over IP addresses

SSI???
NASA Example
Mark Twain said everybody talks
about the weather, but nobody does
anything about it. Well, NASA is
trying to by installing a 1,024processor SGI Origin 3800
supercomputer at the NASA Ames
Research Center in Moffet Field,
Calif. Silicon Graphics says the
machine, which will be used to
predict climate patterns, is the
NASA Example Cont.
largest single-system image
computer in the world. "We
have improved our ability to
simulate climate by a factor
of 10," said Bill Feiereisen,
chief of the NASA Advanced
Supercomputing facility, in a
statement.
Source - InformationWeek BetweenTheLines 11/20/2001
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