International Journal on Computer Science and Technology (IJCST)
Cloud computing is gaining acceptance in many IT organizations, as an elastic, flexible and variable-cost way to deploy their service platforms using outsourced resources. Major cloud computing companies have started to integrate frameworks for parallel data processing in their product portfolio, making it easy for customers to access these services and to deploy their programs. However, the processing frameworks which are currently used have been designed for static, homogeneous cluster setups and disregard the particular nature of a cloud. In this paper, the authors discuss the opportunities and challenges for efficient parallel data processing in clouds and present their research project Nephele.