This seminar indicates that the CLUSTER COMPUTING in easy model

1. Seminar
On
CLUSTER
COMPUTING

2.  Introduction
 Cluster Categorization
 Cluster Component
 How Does It Work?
 Cluster Architecture
 Cluster Benefits
 Cluster Features
 Cluster Application
 Limitations
 Conclusion

3. Cluster is a widely used term meaning
independent computers combined into a unified
system through software and networking
Clusters are typically used for High Availability
(HA) for greater reliability or High Performance
Computing (HPC) to provide greater
computational power than a single computer can
provide.
Clusters are composed of many commodity
computers, linked together by a high-speed
dedicated network

4.  High-availability (HA) clusters
 Load balancing clusters
 High-performance (HPC) clusters
 Grid Cluster

5.  These clusters are designed to provide uninterrupted
availability of data or services (typically web services)
to the end-user community.
 if a node fails, the service can be restored without
affecting the availability of the services provided by
the cluster. While the application will still be available,
there will be a performance drop due to the missing
node.
 The purpose of these clusters is to ensure that a
single instance of an application is only ever running
on one cluster member at a time but if and when that
cluster member is no longer available, the application
will failover to another cluster member.

7.  High-availability clusters implementations are
best for mission-critical applications or
databases, mail, file and print, web, or
application servers.

8.  This type of cluster distributes incoming requests for
resources or content among multiple nodes running
the same programs or having the same content.
 Both the high availability and load-balancing cluster
technologies can be combined to increase the
reliability, availability, and scalability of application
and data resources that are widely deployed for web,
mail, news, or FTP services.
 Every node in the cluster is able to handle requests
for the same content or application.
 This type of distribution is typically seen in a web-
hosting environment.

11.  parallel processing was performed by multiple
processors in a specially designed parallel
computer. These are systems in which multiple
processors share a single memory and bus
interface within a single computer.
 These types of cluster increase availability,
performance, and scalability for applications,
particularly computationally or data intensive
tasks.

12.  The basic building blocks of clusters are broken
down into multiple categories:
1. Cluster Nodes
2. Cluster Network
3. Network Characterization

13.  A user submits a job to the head node. The job
identifies the application to run on the cluster.
The job scheduler on the head node assigns
each task defined by the job to a node and then
starts each application instance on the assigned
node. Results from each of the application
instances are returned to the client via files or
databases.

15. A cluster is a type of parallel or distributed processing
system that consists of a collection of interconnected
stand-alone computers working together as a single,
integrated computing resource

16.  Network technologies
 Network Types
 Communication Protocols
 Operating system
 Single System Image (SSI)
 Quorum

17.  The main benefits of clusters are:
1. Availability
2. Performance
3. Scalability
 These benefits map to needs of today's
enterprise business, education, military and
scientific community infrastructures.

18.  There are three primary categories of
applications that use parallel clusters:
1. Compute Intensive Application.
2. Data or I/O Intensive Applications.
3. Transaction Intensive Applications.

19.  Typically latency is very high and bandwidth
relatively low.
 Currently there is very little software support for
treating a cluster as a single system.
 Problems exist in the interactions between
mixed application workloads on a single time-
shared computer

20. Cluster computing has become a major part
of many research programs because the price
to performance ratio of commodity clusters is
very good. Also, because the nodes in a
cluster are clones, there is no single point of
failure, which enhances the reliability to the
cluster.

21. THANK
YOU