AI for next generation computing: Emerging trends and future directions
Autonomic computing investigates how systems can achieve (user) specified “control”
outcomes on their own, without the intervention of a human operator. Autonomic computing …
outcomes on their own, without the intervention of a human operator. Autonomic computing …
AI-based fog and edge computing: A systematic review, taxonomy and future directions
Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …
Machine-learning-based DDoS attack detection using mutual information and random forest feature importance method
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 …
services are accessible from anywhere at any time. Despite the valuable services, the …
Blockchain for industry 5.0: Vision, opportunities, key enablers, and future directions
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 …
massive automation, to a more customer-driven approach. The shift has been attributed to …
Edge AI: A taxonomy, systematic review and future directions
Abstract Edge Artificial Intelligence (AI) incorporates a network of interconnected systems
and devices that receive, cache, process, and analyse data in close communication with the …
and devices that receive, cache, process, and analyse data in close communication with the …
Artificial intelligence algorithm-based economic denial of sustainability attack detection systems: Cloud computing environments
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 …
consumer IT services online. However, it is prone to new flaws. An economic denial of …
CoScal: Multifaceted scaling of microservices with reinforcement learning
The emerging trend towards moving from monolithic applications to microservices has
raised new performance challenges in cloud computing environments. Compared with …
raised new performance challenges in cloud computing environments. Compared with …
faas‐sim: A trace‐driven simulation framework for serverless edge computing platforms
This paper presents faas‐sim, a simulation framework tailored to serverless edge computing
platforms. In serverless computing, platform operators are tasked with efficiently managing …
platforms. In serverless computing, platform operators are tasked with efficiently managing …
Cloud-native workload orchestration at the edge: A deployment review and future directions
Cloud-native computing principles such as virtualization and orchestration are key to
transferring to the promising paradigm of edge computing. Challenges of containerization …
transferring to the promising paradigm of edge computing. Challenges of containerization …
Auto-scaling techniques in container-based cloud and edge/fog computing: Taxonomy and survey
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 …
computing. Recently, fog and edge computing have been introduced as extensions of cloud …