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Assignment 1: Cluster Analysis

917 Words4 Pages

COVENTRY UNIVERSITY

Advanced Computer Architecture Assignment

Parallel Processing

1. Zando Joel (3430594)
2. Amr Ahmed Farid Mohamed Yousef ()
3. Saud Rasheed A Alsulami ()
4. Faisal Salem M Al-Shahwani ()

Table of Contents
1. Clusters
2. Clusters Configurations
3. Benefits and Limitations of Clustering Methods
4. Operating System Design Issues
5. Clusters Computer Architecture
6. Clusters vs. SMP

Clusters
Clusters are set of computers that are interconnected together as one computing resource that can be seen as a single machine. Clusters are sometimes been use as alternatives to SMPs to provide higher performance, higher availability and they are better for applications in servers. When referring to whole computers, it means …show more content…

The diagram shows a cluster with two nodes which are connected or interconnected all together by the means of a high-speed link which are use to exchange messages or data in other to manage the activities of the cluster. These links between the nodes can be shared using LAN with the help of other computers, which are not use as part of the cluster (Stallings 2013:655). Also showed in the diagram in the configuration of b, there is a disk use to connect to multiple computers in the cluster and there is a high-speed link of interconnection of the clusters. RAID is the name of the disk used. This type of disk is used when if there is a failed node, it does not conciliation the whole system. The system of computers used in these configurations as it showed in the diagram above are all multiprocessors which are normally use to enhance high performance and …show more content…

These enhancements include load balancing, parallelizing computation and failure management.
1) Load Balancing: Load balancing among the computers is needed in the cluster including the incremental scalability. The help of the load balancing includes adding new computers that are added to the cluster automatically. Middleware mechanism also have to recognize that processors on the clusters can be switched between the machines
2) Parallelizing Computation: The effective usage of clusters to execute the software from a single parallel application. There are three different type of approaches to this problem
• Parallelized Application: In this type of processor, programmers write applications to be run on the cluster from the beginning and then data is circulated amongst the nodes using messaging.
• Parametric Computing: This is used if application is kernel is a program or algorithm that has to be implemented numerous times and then every time it execute with a different set of parameters or a preliminary state. This type of processing needs to be organized managed and run in an efficient manner for this type of approach to

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