Today, Infrastructure-as-a-Service (IaaS) cloud providers have incorporated parallel data processing framework in their clouds for performing Many-Task Computing (MTC) applications. Parallel data processing framework reduces time and cost in processing the substantial amount of users' data. Nephele is a dynamic resource allocating parallel data processing framework, which is designed for dynamic and heterogeneous cluster environments. The existing framework does not support to monitor resource overload or under-utilization, during job execution and efficiently. Consequently, the allocated compute resources may be inadequate for big parts of the submitted job and unnecessarily increase processing time and cost.