Recently, edge computing is getting attention as a new computing paradigm that is expected
to achieve short-delay and high-throughput task offloading for large scale Internet-of-Things …

Latency-sensitive and data-intensive applications, such as IoT or mobile services, are
leveraged by Edge computing, which extends the cloud ecosystem with distributed …

As increasingly traditional applications migrate to the cloud, load balancing without
sacrificing the performances of cloud-based applications is a highly challenging problem in …

The workload generated by the Internet of Things (IoT)-based infrastructure is often handled
by the cloud data centers (DCs). However, in recent time, an exponential increase in the …

Recently, the exponential growth of the Internet-of-Things (IoT) services with heterogeneous
requirements becomes a burden to the traditional cloud/data center platform. Edge …

Cloud computing paradigm supports more enterprises to provide satisfactory web services
to their clients. However, the bursty and fluctuation of requests challenge the traditional …

The problem of service availability assurance and optimal performance in 5G edge
computing is solved by means of static or rudimentary dynamic scheduling techniques. In …

Containers have revolutionized application deployment and life-cycle management in
current cloud platforms. Applications have evolved from single monoliths to complex graphs …

The Internet of Things (IoT) has recently become a popular technology that can play
increasingly important roles in every aspect of our daily life. For collaboration between IoT …

With the increased success of Internet of Things (IoT), the conventional centralized cloud
computing is encountering severe challenges (eg, high latency, non-adaptive machine type …