With the increasing advancement in the applications of the Internet of Things (IoT), the
integrated Cloud Computing (CC) faces numerous threats such as performance, security …

Abstract With the Internet of Things (IoT) becoming part of our daily life and our environment,
we expect rapid growth in the number of connected devices. IoT is expected to connect …

Cloud computing with its three key facets (ie, Infrastructure-as-a-Service, Platform-as-a-
Service, and Software-as-a-Service) and its inherent advantages (eg, elasticity and …

To support the large and various applications generated by the Internet of Things (IoT), Fog
Computing was introduced to complement the Cloud Computing and offer Cloud-like …

For various reasons, the cloud computing paradigm is unable to meet certain requirements
(eg low latency and jitter, context awareness, mobility support) that are crucial for several …

Delivering services for Internet of Things (IoT) applications that demand real-time and
predictable latency is a challenge. Several IoT applications require stringent latency …

Despite the increasing usage of cloud computing, there are still issues unsolved due to
inherent problems of cloud computing such as unreliable latency, lack of mobility support …

Despite the broad utilization of cloud computing, some applications and services still cannot
benefit from this popular computing paradigm due to inherent problems of cloud computing …

With the advent of Internet of Things (IoT) connecting billions of mobile and stationary
devices to serve real-time applications, cloud computing paradigms face some significant …

Fog Computing is a paradigm that extends Cloud computing and services to the edge of the
network. Similar to Cloud, Fog provides data, compute, storage, and application services to …