This document summarizes a technical seminar on cluster computing. It defines a cluster as a group of interconnected computers that work together as a single system. It describes three main types of clusters: high-availability clusters for reliability, load balancing clusters for distributing messages, and high-performance clusters for parallel processing. The key components of a cluster are nodes, a network, and network characterization. Clusters provide benefits like high availability, performance, and scalability through features such as various network technologies, communication protocols, and a single system image. Common cluster applications include compute-intensive, data-intensive, and transaction-intensive workloads.

1. Under the guidance of: Submitted By:
Dr.CH.SURESH KUMAR M.Tech(PhD) N.Karthik
H.No:20631A0515
TECHNICAL SEMINAR ON
CLUSTER COMPUTING
DEPARTMENT OF COMPUTER SCIENCE
AND ENGINEERING
Suryapet- 508213

2. CONTENT
 Introduction
 Types of Cluster Computing
 Cluster Component
 Cluster Architecture
 Cluster Benefits
 Cluster Features
 Cluster Application
 Advantages of cluster
 Limitations
 Conclusion

3. INTRODUCTION
 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

5. HIGH AVAILABILITY OR
FAILOVER CLUSTERS
HA clusters are designed to maintain redundant nodes
that can act as backup systems in case any failure occurs.
if a node fails, the service can be restored without
affecting the availability of the services provided by the
cluster.
They are designed to give uninterrupted data availability
to the customers.

7. LOAD BALANCING CLUSTER
Load balancing enables the distribution of messages
received across the API Gateway nodes.
 Both the high availability and load-balancing cluster
technologies can be combined to increase the reliability,
availability, and scalability of application.
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.

8. LOAD BALANCING CLUSTER
DIAGRAM

9.  HP clusters use computer clusters and supercomputers to
solve advance computational problems.
They are used to performing functions that need nodes to
communicate as they perform their jobs.
They are designed to take benefit of the parallel
processing power of several nodes.

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

12. CLUSTER ARCHITECTURE
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

13. CLUSTER COMPUTING
FEATURES
 Network technologies
 Network Types
 Communication Protocols
 Operating system
 Single System Image (SSI)
 Quorum

14. CLUSTER BENEFITS
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.

15. CLUSTER APPLICATION
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.

16. ADVANTAGES OF CLUSTER
COMPUTING
1. High Performance : The systems offer better and enhanced
performance than that of mainframe computer networks.
2. Easy to manage :Cluster Computing is manageable and easy
to implement.
3. Scalable :Resources can be added to the clusters accordingly.
4. Flexibility :It can be upgraded to the superior specification
or additional nodes can be added.

17. 5. Expandability :Computer clusters can be expanded easily by
adding additional computers to the network.
6. Availability :The other nodes will be active when one node gets
failed and will function as a proxy for the failed node.

18. 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.

19. 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.

20. REFERENCE
 www.google.com
 www.wikipedia.com
 www.studymafia.org

21. Any queries..?
&
THANK YOU..