Exploiting Dynamic Resource Allocation for Efficient Parallel Data Processing in the Cloud
Technology Used: Java / J2EE
Parallel and Distributed Systems, 2011
In recent years 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 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. Consequently, the allocated compute resources may be inadequate for big parts of the submitted job and unnecessarily increase processing time and cost. In this paper we discuss the opportunities and challenges for efficient parallel data processing in clouds and present our research project Nephele. Nephele is the first data processing framework to explicitly exploit the dynamic resource allocation offered by today’s IaaS clouds for both, task scheduling and execution. 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 new framework, we perform extended evaluations of MapReduce-inspired processing jobs on an IaaS cloud system and compare the results to the popular data processing framework Hadoop.
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please send me abstract & all the development details of this project
i m an btech student of noida
Enabling Public Auditability and Data Dynamics for Storage Security in Cloud
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please send me abstract & all the development details of this project
i m an btech student of noida
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” Exploiting Dynamic Resource Allocation for Efficient Parallel Data Processing in the Cloud “
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hello sir ,please send me the flow chart related to this project
can u please let me know weather job scheduling is done through os… i mean can v do through os..