Authors

Jemuel A. Malaga*
Technological University of the Philippines – Taguig
Taguig, Metro Manila, Philippines
Email: malagajemuel@gmail.com

Gerald Loise P. Garcia
Technological University of the Philippines – Taguig
Taguig, Metro Manila, Philippines
Email: loisegarcia07@gmail.com

Ernz Rabbi L. Jumoc
Technological University of the Philippines – Taguig
Taguig, Metro Manila, Philippines
Email: ernz.rabbi@gmail.com

Dweight McKaine L. Mandawe
Technological University of the Philippines – Taguig
Taguig, Metro Manila, Philippines
Email: deng.mandawe@gmail.com

Decibelle Reign V. Tanora
Technological University of the Philippines – Taguig
Taguig, Metro Manila, Philippines
Email: decibelletanora15@gmail.com

Pops V. Madriaga
Technological University of the Philippines – Taguig
Taguig, Metro Manila, Philippines
Email: pops_madriaga@tup.edu.ph

Abstract

Integrating 5G technology with cloud edge computing is now essential for real-time applications requiring minimum latency, maximum bandwidth, and reliable connections. This paper explores the feasibility and potential of 5G-enabled edge computing in fields such as autonomous vehicles, AR/VR, telemedicine, and industrial automation, as well as those managing sensitive data. Edge computing removes reliance on centralized cloud structures, enabling application and data analysis at the device or network edge, resulting in faster and more efficient system responses. 5G edge computing offers enhanced security and decision-making for vehicles by enabling real-time sensor data analysis, critical during crashes or traffic jams. For AR/VR, edge computing’s low latency ensures optimal operation, smooth visualization, and immersive experiences in remote training, entertainment, and collaboration. High-speed, reliable data transfer supports telemedicine through remote patient monitoring, advanced consultations, and robotic surgeries. In industry automation, edge computing enables intelligent factory operations, proactive maintenance, and real-time machine coordination. Three core 5G-enabled edge computing features support real-time applications: minimized latency, efficient bandwidth use, and scalable, location-aware computational capacity. Operational advantages include fast responsiveness, high reliability, and strong data processing rates relative to energy use. 5G also fosters trusted integration between networks and devices, supporting automated service innovation. Adoption in automated services is set to improve transportation, healthcare, and digital connectivity, making 5G key for future cloud computing.

Keywords: 5G technology; edge computing; cloud edge computing; low latency; high bandwidth; real-time applications; autonomous vehicles; augmented reality (AR); virtual reality (VR); telemedicine; remote patient monitoring; robotic-assisted surgery; industrial automation; smart factories; machine-to-machine interaction; proactive maintenance; immersive experiences; location-aware computing; high reliability; digital interconnectedness; next-generation cloud computing

*Corresponding author

DOI: http://doi.org/10.69651/PIJHSS0404569

Recommended citation:

Malaga, J. A., Garcia, G. L. P., Jumoc, E. R. L., Mandawe, D. M. L., Tanora, D. R. V., & Madriaga, P. V. (2025). Implication analysis of 5G technology in Cloud Engineering: Operational and technological feasibility in Edge Computing. Pantao (The International Journal of the Humanities and Social Sciences) 4 (4), 6173-6180. http://doi.org/10.69651/PIJHSS0404569

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