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Efficient use of hardware resources is the cornerstone to achieve the highest possible performance out of any Data Intensive cluster . Utilization levels of subsystems within each node and across all the nodes in the cluster, such as CPU, Memory, I/O and disk vary at different phases of the execution plan. Balancing these resources during the architectural design can be challenging.
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- Parallel Processing, Multiprocessors and Virtualization in Data-Intensive Computing
- Springer New York
- Chapter 9
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