Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Fog and
edge computing have developed into transformative systems that solve the needs
for fog and edge computing because data-driven applications experienced rapid
expansion and users required fast network connections with high data transfer
rates. The new computing methods create a direct link between people who use
devices and cloud services which base their operations on centralized systems
to deliver 5G and IoT and augmented reality and vehicle-to-vehicle
communication technologies. The new computing paradigms offer better
performance than traditional cloud systems because they combine low latency
with mobility features and location tracking capabilities which enable instant
access to mission-critical services. The paper maps existing research to the
real-world needs of fog and edge infrastructure and platforms to create a
complete evaluation of technology optimization and system integration. The
paper compares fog and edge computing systems through a research assessment
which examines their current opportunities and challenges and identifies future
research pathways. The study investigates network optimization and resource
allocation and network connectivity and communication and security and privacy
and data management and system complexity as key challenges which exist within
fog computing environments. The paper identifies essential research
shortcomings in fog and edge computing research and recommends future research
paths to develop these technologies by focusing on their system integration and
interoperability and their capability to power forthcoming intelligent
distributed systems. The conclusion emphasizes that while fog and edge
computing are not replacements for cloud computing the two technologies serve
as vital elements which enhance cloud services through their ability to process
data locally and their capacity to enhance service delivery.
Country : India
IRJIET, Volume 10, Issue 3, March 2026 pp. 233-256