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Nephele: Dynamic Allocation and Parallel Execution Security Model in Cloud Computing

Author(s): D.CJoy Wise

Journal: Journal of Current Engineering Research
ISSN 2250-2637

Volume: 2;
Issue: 5;
Date: 2012;
Original page

Keywords: Nephele | CCP | Map reducing.

present year ad-hoc parallel data processing has emerged to be one of the killer applications for Infrastructure-as-a-Service (IAAS) clouds. Major Cloud computing companies have started to integrate frameworks for parallel data and making it easy for customers to access these. However, the processing frameworks which are currently used have been designed for static, homogeneous cluster setups and disregard the particular nature of a cloud. Consequently, the allocated compute resources may be inadequate for big parts of the submitted job and unnecessarily increase processing time and cost. In this project the data processing framework to explicitly exploit the dynamic resource allocation offered by today’s IAAS clouds for both, task scheduling and execution is constructed. 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.
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