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, efficiently. Consequently, the allocated compute resources may be inadequate for big parts of the submitted job and unnecessarily increase processing time and cost.