Clustering by AKASHMSHAH
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Cluster computing involves linking multiple computers together to take advantage of their combined processing power. The document discusses cluster computing, including its architecture, history, applications, advantages, and disadvantages. It provides examples of high performance computing clusters used for tasks like genetic algorithm research and describes how cluster computing can improve processor speed and allow computational tasks to be shared among multiple processors.
Clustering by AKASHMSHAH
- 1. CLUSTER COMPUTING PREPARED BY:- AKASH M SHAH & KEYUR AADESARA (5TH SEM CE)
- 2. High performance computing High throughput computing HPC, and HTC Parallel algorithms Software technologies 4
- 3. : 1. Multiple High Performance Computers 2. Operating Systems. A.Linux B. Microsoft NT 3. High Performance Networks. 4. Network Interface Card. 5. Parallel Programming Environments &tools.
- 4. CONTENTS Introduction Architecture History Application Advantages Disadvantages
- 5. What is cluster computing? cluster computing is the technique of linking two or more computers into a network (usually through a local area network) inorder to take advantage of the Parallel processing power of those computers.
- 6. The clustering model can provide both HA & HP, and also manageability, scalability, & affordability Typically homogeneous, tightly coupled, nodes trust each other. As number of h/w components rises, so does the probability of failure. Increasing probability of fault occurrence for long-running applications.
- 7. Improve the operating speed ofprocessors & other components. Connect multiple processors together & coordinate their computational efforts. allow the sharing of a computational task among multiple processors
- 8. 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.
- 10. Cluster computing system contract by IBM in the 1950s based on the MIT Whirlwind computer architecture. During the decade of the 1980s, increased interest in the potential of cluster computing was marked by important experiments in research and industry. 12
- 11. High Availability Clusters Load-balancing Clusters High-performance Clusters
- 12. The clusters are designed to maintain redundant nodes that can act as backup systems in the event of failure. The minimum number of nodes in a HA cluster is two - one active and one redundant - though most HA clusters will use considerably more nodes.
- 14. Load-balancing clusters are extremely useful for those working with limited IT budgets. Load-balancing clusters operate by routing all work through one or more load-balancing front-end nodes.
- 15. HPC clusters are designed to exploit parallel processing power of multiple nodes.
- 16. Ethernet 10 Mbps obsolete 100 Mbps almost obsolete 1000 Mbps standard Protocols TCP/IP 18
- 17. July 1999 1000 nodes Used for genetic algorithm research by John Koza, Stanford University www.genetic- programming.com/ Mateti-Everything-About-Linux 19
- 19. IBM BlueGene, 2007 Memory: 73728 GB Interconnect: Proprietary PowerPC 440 106,496 nodes 478.2 Tera FLOPS Mateti-Everything-About-Linux 21
- 20. There are three primary categories of applications that use parallel clusters. 1.Compute intensive application. 2.Data or i/o intensive applicaion. 3.Transaction intensive application.
- 21. High Performance Expandability Scalability: the resources are distributed in case of Cluster Computing. Easy to upgrade and maintain. High Availability
- 22. Software: difficult to develop software for distributed systems. Network:- saturation, transmissions. Security: easy access also applies to secrete data.
- 23. Solve parallel processing paradox . Clusters based supercomputers can be seen everywhere! New trends in hardware and software tech-nologies are likely to make clusters more promising and fill SSI (Single System Image)gap.
- 24. The Grid is a large system of computing resources that performs tasks and provides to users a single point of access, commonly based on the World Wide Web interface, to these distributed resources. Major Grid projects include NASA’s Information Power Grid, two NSF Grid projects (NCSA Alliance’s Virtual
- 27. REFRERENCES