  Transitioning cloud-based Hadoop from IaaS to PaaS, which are commercially
conceptualized as pay-as-you-go or pay-per-use, often reduces the associated
system costs. However, managed Hadoop systems do present a black-box behavior
to the end-users who cannot be clear on the inner performance dynamics, hence,
on the benefits of leveraging them. In the study, we aimed to understand
managed Hadoop context in terms of resource utilization. We utilized three
experimental Hadoop-on-PaaS proposals as they come out-of-the-box and conducted
Hadoop specific workloads of the HiBench Benchmark Suite. During the benchmark
executions, we collected system resource utilization data on the worker nodes.
The results indicated that the same property specifications among cloud
services do not guarantee nearby performance outputs, nor consistent results
within themselves. We assume that the managed systems' architectures and
pre-configurations play a significant role in the performance.
