Optimizing Time Consumption for Smartphone-based Distributed Parallel Processing System

Document Type : Original Article

Authors

1 IT Dept., Sulaimani Polytechnic UniversitySulaimani, Iraq

2 Computer Network Dept., Sulaimani Polytechnic University, Sulaimani, Iraq

3 Energy Eng. Dept., Technical College of Engineering, Duhok Polytechnic University, Iraq

4 Computer Science Dept., College of Science, University of Duhok, Duhok, Iraq

5 Computer Science Dept., College of Science, Nawroz University, Duhok, Iraq

6 ITM Dept., Technical College of Administration, Duhok Polytechnic University, Duhok, Iraq

Abstract

This paper is focused on designing an efficient approach to retrieve information that is processed by mobile devices. So, this system is designed to combine various techniques that can be beneficial for using distributed parallel processing techniques with distributed cloud computing that is used for processing a heavy load as an investigation for the proposed task that came from the cloud node. The proposed system allows users to perform and generate heavy loads that can be distributed among multiple devices using parallel processing in which smartphones are used instead of computer devices as servers that give important enhancement concerning other works. A significant improvement will be provided to the proposed system’s performance. Hence, it will influence a significant reduction of the (Waiting, CPU, User, and Maximum Execution) timings and minimize memory usage via using distributed parallel processing techniques for heavy loads. As a sample of important outcomes, comparing matrix-order=1024x1024 shows a decrease from (622,333 ms) using one server to (48,631 ms) using 16 servers, when a decreased ratio is equal to (92.18%).

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Volume 6, Special Issue
Proceedings of the 4th International Conference on Recent Innovation in Engineering ICRIE 2023, University of Duhok, College of Engineering, 13th – 14th September 2023
January 2024
Pages 254-265