The extensive increase in the number of IoT devices and the massive data generated and
sent to the cloud hinder the cloud abilities to handle it. Further, some IoT devices are latency …

Fog computing uses one or more collaborative end users or near-user edge devices to
perform storage, communication, control, configuration, measurement and management …

Our world is being transformed by connectivity and technology as time goes by, which
requires continuous improvement of quality of service (QoS) levels in the systems. Currently …

Emerging technologies that generate a huge amount of data such as the Internet of Things
(IoT) services need latency aware computing platforms to support time-critical applications …

Fog computing is an increasingly popular method with which to process the huge amount of
data generated by the Internet of Things (IoT) devices and applications at the edge-level …

The emergence of real-time and data-intensive applications empowered by mobile
computing and IoT devices is challenging the success of centralized data centers, and …

Fog Computing is a distributed computing environment that extends the Cloud Computing
paradigm to fully support the Internet of Things (IoT) vision. It aims to push the intelligence …

Cloud computing is an architecture which several Internet-of-Things (IoT) devices relay on to
outsource their computation tasks. The numbers and needs of IoT devices have grown …

Despite the rapid growth and advancement in the Internet of Things (IoT), there are critical
challenges that need to be addressed before the full adoption of the IoT. Data privacy is one …