Map-Reduce based tipping point scheduler for parallel image processing

作者：

Highlights：

• Development of a tipping point scheduler (TPS) to enhance workflow optimization.

• Comparison of TPS with other state of the art Map-Reduce based schedulers.

• Evaluation of TPS by implementing parallel image segmentation to analyze lung tumour.

• Performance analysis of TPS using different workload criteria.

摘要

•Development of a tipping point scheduler (TPS) to enhance workflow optimization.•Comparison of TPS with other state of the art Map-Reduce based schedulers.•Evaluation of TPS by implementing parallel image segmentation to analyze lung tumour.•Performance analysis of TPS using different workload criteria.

论文关键词：Job scheduler,Workflow optimization,Map-Reduce,Tipping point scheduler,Parallel image segmentation,Lung tumor

论文评审过程：Received 11 September 2018, Revised 9 May 2019, Accepted 26 July 2019, Available online 5 August 2019, Version of Record 5 August 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.112848