MapReduce Cloud Computing Question:
Do you know how is MapReduce related to cloud computing?
Answer:
The mapreduce framework contains most of the key architecture principles of cloud computing such as:
Scale: The framework is able to expand itself in direct proportion to the number of machines available.
Reliable: The framework is able to compensate for a lost node and restart the task on a different node.
Affordable: A user can start small and over time can add more hardware.
Due to the above features the mapreduce framework has become the platform of choice for the development of cloud applications.
Scale: The framework is able to expand itself in direct proportion to the number of machines available.
Reliable: The framework is able to compensate for a lost node and restart the task on a different node.
Affordable: A user can start small and over time can add more hardware.
Due to the above features the mapreduce framework has become the platform of choice for the development of cloud applications.
Previous Question | Next Question |
How does fault tolerance work in mapreduce? | When do reducers play their role in a mapreduce task? |