Fine Grained Interference and Deadline Aware Scheduling For Data-Intensive Applications in Virtualized Environments
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 3
Abstract
Nowadays many of the organization make use of virtualized environment of cloud computing to improve their resource sharing. When sharing the resources for task scheduling particularly for data intensive applications interference becomes major issue. In the existing work TRACON framework is developed to attain the interference aware scheduling of information intensive applications. Once the task is submitted by the user, the user also will specify the Quality of Service needs. It will be difficult to realize associate user such Quality of Service constraints once the user submitted jobs are knowledge intensive application. The data intensive application will consume more time for execution when it is submitted by the cloud service provider. It is overcome in our work by proposing a novel algorithm called interference aware group based job scheduling. This algorithm aims to group the tasks with the similar deadline and that will assigned based on the priority with the consideration of interference. The experimental result demonstrates that our proposed algorithm is better than the existing algorithms.
Authors and Affiliations
P. Sujatha, Dr. V. Venkatesakumar, S. Ayyasamy, A. Nelson
Keywords
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