Use of regional computing to minimize the social big data effects

Badshah, Afzal; Iwendi, Celestine; Jalal, Ateeqa; Hasan, S. S.; Said, Ghawar; Band, Shahab S.; Chang, Arthur

doi:10.1016/j.cie.2022.108433

Cited by 4 publications

(2 citation statements)

References 31 publications

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“…For instance, our analysis reveals that regions closer to the AVs, such as North America and South America, exhibit lower delays and costs compared to regions farther away, such as Asia and Africa. This aligns with the existing literature, which suggests that proximity to regional servers reduces delay and costs significantly [17].…”

Section: Discussionsupporting

confidence: 90%

“…• Implementing regional computing, as shown in Figure 3, to minimize delays between regional servers and vehicles. These servers, strategically placed within a specific region, cover the entire area [17]. Regionally located computing servers will process data within their region, eliminating the need to transmit high-resolution graphics data to the cloud.…”

Section: Communication and Interaction Datamentioning

confidence: 99%

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Network Resources Optimization through Regional Computing forVehicular Big Data

Khan,

Badshah,

Alharbi

et al. 2024

Preprint

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The transportation system is shifting toward an Intelligent Transportation System (ITS). Research shows that a singleAutonomous Vehicle (AV) can generate up to 1 Terabyte (TB) datadaily. Data processing occurs in real-time at the vehicle edge to facilitate navigation. However, some of this data is sent to the cloudfor real-time navigation support for other AVs. Even slight delayscan have significant consequences for these vehicles. All AV datais also necessary in the cloud for navigation and training purposes.Unfortunately, the massive volume of Vehicular Big Data (VBD)congests public networks, making real-time communication unfeasible. This study proposes Regional Computing (RC) as a solution,enabling real-time updates and navigation for AVs. Compared toedge servers, RC offers sufficient resources and considerably reduceddelays and costs compared to Cloud Computing (CC). RC substantially reduces communication delay, cost, and network congestion.

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Section: Discussionsupporting

confidence: 90%

Section: Communication and Interaction Datamentioning

confidence: 99%