This document provides an overview of cluster computing. It defines a computer cluster as a set of loosely or tightly connected computers that work together to perform tasks like a single system. The document outlines how a cluster works by distributing tasks from a job to nodes in the cluster. It describes different types of clusters and components like nodes and networks. Advantages include reduced costs, scalability and availability, while disadvantages include need for parallel programming skills and more complex administration. Limitations include high latency and low bandwidth between nodes. In conclusion, cluster computing provides good price to performance and reliability due to lack of single point of failure.

1. SEMINAR
ON
CLUSTER COMPUTING
Presented By:
B. Shobha Rani
IV Sem ,MCA.
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2. Contents
 Introduction
 Definition
 How does it works?
 Cluster Architecture
 Types of Clusters
 Cluster Components
 Pros and Cons
 Limitations
 Conclusion
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3. Introduction
 Cluster is a widely used term meaning
independent computers combined into a
unified system through software and
networking
 A cluster computing is a single logical
unit consisting of multiple computers that
are linked through a LAN. The networked
computers essentially act as a single,
much more powerful machine.
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4. Definition
A computer cluster is a set of loosely or
tightly connected computers that work
together so that, in many aspects, they can
be viewed as a single system. Unlike grid
computers, computer clusters have each
node set to perform the same task,
controlled and scheduled by software.
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5. HOW DOES IT WORKS?
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.
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7. Types of Cluster Computing
 Load-balancing clusters
 High availability (HA) clusters
 High performance (HP) clusters
i) Parallel model
ii) Technical model
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8. Diagrammatic View of Clusters
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9. Cluster Components
 The basic building blocks of clusters are
broken down into multiple categories:
◦ Cluster Nodes
◦ Cluster Network
◦ Network Characterization
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10. Advantages
 Reduced cost
 Processing power/Performance
 Improved Network Technology
 Scalability
 Availability
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11. Disadvantages
 Good knowledge of parallel programming
is required
 Hardware needs to be adjusted to the
specific application (network topology)
 More complex administration
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12. Limitations
 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
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13. Conclusion
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.
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14. Thank you
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15. Any Queries?
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