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Enhanced techniques to measure the execution time of distributed and cloud computing systems

Authors :
Jghef Yousif Sufyan
Mohammed Marwan Aziz
Abdullah Abdulqadir Ismail
Othman Nashwan Adnan
Sulaiman Sazan Kamal
Bofaoor Husam Barjas
Source :
ITM Web of Conferences, Vol 64, p 01017 (2024)
Publication Year :
2024
Publisher :
EDP Sciences, 2024.

Abstract

ICT giants include cloud computing and distributed systems. Researchers have ignored the idea of merging distributed systems and cloud computing to examine millisecond execution times and megabyte capacity. The system used Google’s API to download files to the cloud. The system sent files to the principal server. Now there are two ways to calculate execution time accurately. The first scenario uses threads to construct clients and servers. Second, pool threads are used. This article examines file capacity and execution time. The system demonstrated how cloud computing influences distributed systems’ execution time and capacity in these two circumstances. According to the testing, the first scenario (multi threads) takes less time than the second (pool threads), although not significantly. 4874 milliseconds are needed to transfer 50 files, each weighing 90 MB, utilizing multiple threads. However, it takes 5541 milliseconds to send these files using the pool threads. Keep in mind that utilizing the first scenario is bad for computer hardware. In order to load files into the system, this work used hash table software structure in conjunction with network technologies like TCP sockets, APIs, threads, and thread pool techniques between the client and servers.

Subjects

Subjects :
Information technology
T58.5-58.64

Details

Language :
English
ISSN :
22712097
Volume :
64
Database :
Directory of Open Access Journals
Journal :
ITM Web of Conferences
Publication Type :
Academic Journal
Accession number :
edsdoj.f6559e3a693640d1a2b2a93299852e38
Document Type :
article
Full Text :
https://doi.org/10.1051/itmconf/20246401017