Autonomic computing investigates how systems can achieve (user) specified “control”
outcomes on their own, without the intervention of a human operator. Autonomic computing …

Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …

Cloud computing facilitates the users with on-demand services over the Internet. The
services are accessible from anywhere at any time. Despite the valuable services, the …

Industry 4.0 have witnessed a paradigm shift from cyber-physical systems (CPS) that aims at
massive automation, to a more customer-driven approach. The shift has been attributed to …

Cloud computing is currently the most cost-effective means of providing commercial and
consumer IT services online. However, it is prone to new flaws. An economic denial of …

The emerging trend towards moving from monolithic applications to microservices has
raised new performance challenges in cloud computing environments. Compared with …

This paper presents faas‐sim, a simulation framework tailored to serverless edge computing
platforms. In serverless computing, platform operators are tasked with efficiently managing …

Cloud-native computing principles such as virtualization and orchestration are key to
transferring to the promising paradigm of edge computing. Challenges of containerization …

The long-held dream of computing as a service was realized with the emergence of cloud
computing. Recently, fog and edge computing have been introduced as extensions of cloud …

In recent years, the landscape of computing paradigms has witnessed a gradual yet
remarkable shift from monolithic computing to distributed and decentralized paradigms such …