The edge computing domain is notably diverse in its composition. Capabilities including
sensing, actuation, and mobility are often constrained by limitations such as those in energy …

As compared to traditional cloud computing, edge computing provides computational,
sensor, and storage resources co-located with client requests, thereby reducing network …

Distributed computing continuum systems are required to enable the future applications that
we all have in mind, from autonomous driving to holographic interactions. My research …

The rapid growth in both the number and variety of cloud services has led to the emergence
of complex applications using multiple cloud services (typically> 5). Although building cloud …

By expanding the computational power of the public cloud to include resources closer to
clients, edge computing serves as a natural extension of cloud computing. The resulting …

Migrating data processing tasks from the Cloud to Edge nodes are becoming standard
practice. Such migration in-creases the complexity of system design and implementation …

The advent of edge computing holds immense promise for advancing the digitization of
society, ushering in critical applications that elevate the overall quality of life. Yet, the …

Distributed adaptive systems are composed of federated entities offering remote inspection
and reconfiguration abilities. This is often realized using a MAPE-K loop, which constantly …

Modern developers rely on container-orchestration frameworks like Kubernetes to deploy
and manage hybrid workloads that span the edge and cloud. When network conditions …

The abstract explores the intricate landscape of integrating edge computing with
conventional cloud services, examining the advantages and hurdles associated with …