Dynamic Resource Allocation Using NepheleFramework in Cloud
An, P. Prabu, P Dhanasekar, S G Sairamprabhu · International Journal of Innovative Research in Computer and Communication Engineering · 2014
In recent years ad hoc parallel data processing is one of the emerging applications for Infrastructure-as-a- Service (IaaS) cloud environment. The current processing frameworks have been designed for homogenous cloud setup, which consequently leads to increased processing time and cost. In this paper we present Nephele, a first data processing framework for exploiting dynamic resource allocation in a cloud environment. Particular tasks of a processing job can be assigned to different types of virtual machines which are automatically instantiated and terminated during the job execution. Based on this framework, we perform Map Reduce-inspired processing jobs on an IaaS cloud system and compare the results to the popular data processing framework Hadoop.