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 …

Emerging technologies such as the Internet of Things (IoT) require latency-aware
computation for real-time application processing. In IoT environments, connected things …

In today's information technology age, data is the main commodity, and possessing more
data typically generates more value in datadriven businesses. According to the International …

With the rapid growth of the Internet of Things (IoT) and a wide range of mobile devices, the
conventional cloud computing paradigm faces significant challenges (high latency …

Fog computing offers a wide range of service levels including low bandwidth usage, low
response time, support of heterogeneous applications, and high energy efficiency …

The prevalence of smart devices and cloud computing has led to an explosion in the amount
of data generated by IoT devices. Moreover, emerging IoT applications, such as augmented …

In recent times, the Internet of Things (IoT) applications, including smart transportation, smart
healthcare, smart grid, smart city, etc. generate a large volume of real-time data for decision …

Regarding real-time data processing, technological innovations like the Internet of Things
(IoTs) need latency-sensitive computation. The interconnected devices in IoT systems …

The Fog computing paradigms are becoming popular means of utilizing resources optimally
by the IoT devices, extending quality of service to the vicinity of the user, and achieve fast …

With the rapid growth of Internet of Things (IoT) applications, the classic centralized cloud
computing paradigm faces several challenges such as high latency, low capacity and …