2022
DOI: 10.14569/ijacsa.2022.0130676
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Impact of COVID-19 Pandemic Measures and Restrictions on Cellular Network Traffic in Malaysia

Abstract: Due to the COVID-19 pandemic, intensive controls were put in place to prevent the pandemic from spreading. People's habits have been altered by the COVID-19 measures and restrictions imposed such as social distance and lockdown measures. These unexpected changes created a significant impact on cellular networks, such as increased use of online services and content streaming, which increased the burden on wireless networks. This research work is basically a case study that aims to examine and investigate cellul… Show more

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Cited by 5 publications
(2 citation statements)
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“…COVID-19 has resulted in massive economic damage in addition to the international health crisis (e.g., a projected 25% jobless rate in the United States) [ 4 ]. The pandemic has affected network connections and caused data rate fluctuations around the world, including in Malaysia [ 5 ]. Stopping the transmission of the disease, reducing its bad effects, and buying further opportunities for the creation of pharmacological remedies are all urgently required in such a scenario.…”
Section: Introductionmentioning
confidence: 99%
“…COVID-19 has resulted in massive economic damage in addition to the international health crisis (e.g., a projected 25% jobless rate in the United States) [ 4 ]. The pandemic has affected network connections and caused data rate fluctuations around the world, including in Malaysia [ 5 ]. Stopping the transmission of the disease, reducing its bad effects, and buying further opportunities for the creation of pharmacological remedies are all urgently required in such a scenario.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, it is necessary to find an effective optimization algorithm to solve it. Traditional static task scheduling algorithms, such as Min-Min algorithm [3], Max-Min algorithm [4], and Round-Robin algorithm [5], have limitations in handling large-scale scheduling problems. Meta-heuristic algorithms [6], on the other hand, have demonstrated good robustness and feasibility in task scheduling optimization.…”
Section: Introductionmentioning
confidence: 99%