Improving Image Processing Performance on MapReduce
Publish place: 6th International Conference on Science and Technology with Sustainable Development Approach
Publish Year: 1399
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
TECHSD06_003
تاریخ نمایه سازی: 25 خرداد 1400
Abstract:
The goal of this study is to improve image processing performance using MapReduce. We utilize the Hadoop in image processing programs and present two equations to calculate both the number of mappers and the amount of the main memory, based on CPU cores to achieve the highest possible performance.
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Authors
Abolfazl Mohammadi-Seif
Faculty of e-Learning Shiraz University Shiraz, IRAN
Mohammad Kazem Akbari
Computer Engineering and IT Department Amirkabir University of Technology Tehran, IRAN
Morteza Sargolzaei Javan
Computer Engineering and IT Department Amirkabir University of Technology Tehran, IRAN