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Cluster computing2

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  • 1. CLUSTER COMPUTING GHANSHYAM ANAND
  • 2.
    • Is a group of tightly coupled computer working together closely
    • Clusters are commonly connected through fast LAN (Local Area Network)
    • Cluster have evolved to support application where the huge database is required
    INTRODUCTION
  • 3.
    • First commodity clustering product was
    • ARC net ,developed by DATA point in
    • 1977
    • The next product was VAX cluster, released by DEC in 1980
    HISTORY
  • 4.
    • Microsoft , Sun Microsystems ,and other leading hardware and software companies offer clustering packages
  • 5.
    • Price/Performance
    • Reason for the growth in use of Clusters is that they have significantly reduced the cost of processing power
    • Availability
    • Single points of failure can be eliminated,
    • If any one system component goes down,
    • The System as a whole stay highly available
    WHY CLUSTER
  • 6.
    • Scalability
    • Cluster can grow in overall capacity because processors and nodes can be added as demand increases
  • 7.
    • A Cluster is a type of parallel/distributed processing system, which consist of a collection interconnected stand alone computers (Node) working together
    • NODE
    • A single or multiprocessor system with a memory, I/O facilities & O/S
    • Generally 2 or more nodes are connected together
    ARCHITRETURE
  • 8.
    • Appear as a single system to user and applications
    • Provide a cost-effective way to gain features and benefits
  • 9.
    • High Performance (HP) Clusters
    • Load Balancing Clusters
    • High Availability (HA) Clusters
    KINDS OF CLUSTERS
  • 10.
    • Start from 1994
    • Donald Becker of NASA assembled this cluster.
    • Applications like data mining, simulations, parallel processing, weather modeling, etc
    HIGH PERFORMANCE CLUSTER
  • 11.
    • Large number of nodes to share load
    • from the user side they are multiple machine ,but function as single virtual machine
    • Commonly used with busy ftp and web servers with large client base
    LOAD BALANCING CLUSER
  • 12.
    • Avoid single point of failure
    • This requires at least two nodes - a primary and a backup.
    • Almost all load balancing cluster are with HA capability
    HIGH AVAILABILITY CLUSTER
  • 13.
    • Cluster Networking
    • Programming
    • Timing
    • Speed Selection
    ISSUES TO BE CONSIDERED
  • 14.
    • Clusters are promising
    • Solve parallel processing problems
    • New trends in hardware and software technologies are likely to make clusters
    • Clusters based supercomputers can be seen everywhere
    CONCLUSION
  • 15. THANK YOU