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Orchestration in fog computing: A comprehensive survey
Fog computing is a paradigm that brings computational resources and services to the
network edge in the vicinity of user devices, lowering latency and connecting with cloud …
network edge in the vicinity of user devices, lowering latency and connecting with cloud …
Incentive mechanisms in peer-to-peer networks—a systematic literature review
Centralized networks inevitably exhibit single points of failure that malicious actors regularly
target. Decentralized networks are more resilient if numerous participants contribute to the …
target. Decentralized networks are more resilient if numerous participants contribute to the …
DQN-based mobile edge computing for smart Internet of vehicle
In this paper, we investigate a multiuser mobile edge computing (MEC)-aided smart Internet
of vehicle (IoV) network, where one edge server can help accomplish the intensive …
of vehicle (IoV) network, where one edge server can help accomplish the intensive …
Edge computing technology enablers: A systematic lecture study
With the increasing stringent QoS constraints (eg, latency, bandwidth, jitter) imposed by
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …
Contemporary advances in multi-access edge computing: A survey of fundamentals, architecture, technologies, deployment cases, security, challenges, and directions
With advancements of cloud technologies Multi-Access Edge Computing (MEC) emerged as
a remarkable edge-cloud technology to provide computing facilities to resource-restrained …
a remarkable edge-cloud technology to provide computing facilities to resource-restrained …
[HTML][HTML] Combining Edge Computing-Assisted Internet of Things Security with Artificial Intelligence: Applications, Challenges, and Opportunities
The integration of edge computing with IoT (EC-IoT) systems provides significant
improvements in addressing security and privacy challenges in IoT networks. This paper …
improvements in addressing security and privacy challenges in IoT networks. This paper …
Human-machine collaboration for smart decision making: current trends and future opportunities
Recently, modeling of decision making and control systems that include heterogeneous
smart sensing devices (machines) as well as human agents as participants is becoming an …
smart sensing devices (machines) as well as human agents as participants is becoming an …
Time-constrained service handoff for mobile edge computing in 5G
Many mobile device applications require low end-to-end latency to edge computing
infrastructure when offloading their computation tasks in order to achieve real-time …
infrastructure when offloading their computation tasks in order to achieve real-time …
A blockchain-based privacy-preserving anti-collusion data auction mechanism with an off-chain approach
Big data refers to sets of structured, semi-structured, and unstructured data collected by
organizations and may be difficult to process using traditional processing methods. Big data …
organizations and may be difficult to process using traditional processing methods. Big data …
Coordinating Services and Networks With NaaS Tickets Towards Service Customization in Distributed Clouds
Distributed clouds decentralize cloud resources, moving from a single high-level point in the
network to multiple low-level points, allowing for the dynamic distribution of services across …
network to multiple low-level points, allowing for the dynamic distribution of services across …