Are you aware that multi-cores are very difficult to built ?? Do you know all leading companies do not just depend on multi-cores? But where do these organizations get the computing power from?
The simple and straight-forward answer to all these questions lies in distributed computing. In parallel computing the processing power is dependent on the number of processors used. But this makes the design of the processor complicated. The more processing power we require the more complicated it becomes. By distributing the processing power among several independent systems the design of a distributed system becomes simple. The following are the advantages of a distributed system over a parallel system.
- No single point of failure.
- Easy to scale up or down.
- Speed.
There are two methods for implementing a distributed computing platform.
Apache Hadoop(The Open Source Distributed Programming Platform)
Hadoop is a distributed computing platform. It is built by the Apache Software foundation group. It was developed using the heterogenous configuration of the server systems as discussed above. Hadoop was initially built by Doug Cutting in java after which it was taken over by Apache. Many companies like yahoo, facebook have been using Hadoop in their businesses. The design of Hadoop is based on a white paper submitted by google titled "Map Reduce: Simplified Data Processing on Large Clusters".
- Using a heterogeneous(master-slave) configuration.
- Using a homogeneous configuration.
Apache Hadoop(The Open Source Distributed Programming Platform)
Hadoop is a distributed computing platform. It is built by the Apache Software foundation group. It was developed using the heterogenous configuration of the server systems as discussed above. Hadoop was initially built by Doug Cutting in java after which it was taken over by Apache. Many companies like yahoo, facebook have been using Hadoop in their businesses. The design of Hadoop is based on a white paper submitted by google titled "Map Reduce: Simplified Data Processing on Large Clusters".
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