Edge computing has been envisioned as an emerging and prospective computing paradigm
for its advantage of low latency, which uses local resources. However, the edge resources …

In the Internet-of-Things (IoT) cloud platform, optimizing resource scheduling is the main way
to achieve the maximum benefit of the system. However, the current researches lack an …

With the continuous integration of IoT technology and information technology, edge
computing, as an emerging computing paradigm, makes full use of terminals to process and …

Abstract The Internet of things (IoT) paradigm has emerged to connect the number of
devices using the Internet resulting in the deployment of smart cities. Cloud computing has …

The amalgamation of Cloud Computing and Internet-of-Things (IoT), ie, Cloud-of-Things
(CoT), has emerged as one of the indispensable technologies in the IT and business world …

Nowadays, the load on datacenters has become more and more due to the unprecedented
growth of diversified data from many IoT devices; hence, resource utilization has become …

Cloud computing has indisputably emerged as the primary computing and storage platform
for various contemporary workloads. These workloads, spanning from IoT to big data …

Abstract Artificial Intelligence of Things (AIoT) is a new research area in AI and IoT. For the
massive data and connections at the edge of AIoT, how to schedule the resource load is a …

The exponential expansion in the number of smart devices in the burgeoning Internet of
Things (IoT) is driving the growing demand for effective storage techniques. Cloud …

Resource planning is one of the critical problem in the IoT-Cloud-Fog system due to the
resourceconstrained. Data processing in the cloud system is creating headache because …