Results 311 to 320 of about 459,637 (360)
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2017
Paradigms of ubiquitous IoT coupled with strong context-aware data access controls are a must for the success of Health 4.0. These together with the inherent requirement of adhering to strict QoS guarantees in the health domain create a technologically challenging environment which can be effectively addressed through novel platforms.
Karthikeyan Ganesan, Swaroop Nunna
openaire +4 more sources
Paradigms of ubiquitous IoT coupled with strong context-aware data access controls are a must for the success of Health 4.0. These together with the inherent requirement of adhering to strict QoS guarantees in the health domain create a technologically challenging environment which can be effectively addressed through novel platforms.
Karthikeyan Ganesan, Swaroop Nunna
openaire +4 more sources
Layer Dependency-Aware Learning Scheduling Algorithms for Containers in Mobile Edge Computing
IEEE Transactions on Mobile Computing, 2023Due to the features of lightweight and easy deployment, the use of containers has emerged as a promising approach for Mobile Edge Computing (MEC). Before running the container, an image composed of several layers must exist locally.
Zhiqing Tang, Jiong Lou, Weijia Jia
semanticscholar +1 more source
IEEE Transactions on Cloud Computing, 2023
Mobile edge computing (MEC) shows prominent application prospects in the Industrial Internet of Things (IIoT) by allowing resource-restricted IIoT mobile devices (MDs) to offload their tasks to geographical proximity edge clouds.
Yi Su, Wenhao Fan, Y. Liu, Fan Wu
semanticscholar +1 more source
Mobile edge computing (MEC) shows prominent application prospects in the Industrial Internet of Things (IIoT) by allowing resource-restricted IIoT mobile devices (MDs) to offload their tasks to geographical proximity edge clouds.
Yi Su, Wenhao Fan, Y. Liu, Fan Wu
semanticscholar +1 more source
Dynamic Task Scheduling in Cloud-Assisted Mobile Edge Computing
IEEE Transactions on Mobile Computing, 2023The cloud-assisted mobile edge computing system is a critical architecture to process computation-intensive and delay-sensitive mobile applications in close proximity to mobile users with high resource efficiency. Due to the heterogenous dynamics of task
Xiao Ma +5 more
semanticscholar +1 more source
Location Privacy Protection via Delocalization in 5G Mobile Edge Computing Environment
IEEE Transactions on Services Computing, 2023In the past several years, we have witnessed a variety of mechanisms for protecting mobile users’ location privacy, e.g., k-anonymity, cloaking, encryption, etc. Unfortunately, existing techniques suffer from a common limitation - mobile users’ locations
Guangming Cui +5 more
semanticscholar +1 more source
A survey on mobile edge computing
2016 10th International Conference on Intelligent Systems and Control (ISCO), 2016Mobile Edge Computing is an emerging technology that provides cloud and IT services within the close proximity of mobile subscribers. Traditional telecom network operators perform traffic control flow (forwarding and filtering of packets), but in Mobile Edge Computing, cloud servers are also deployed in each base station.
Ejaz Ahmed, Arif Ahmed
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Game Theoretical Task Offloading for Profit Maximization in Mobile Edge Computing
IEEE Transactions on Mobile Computing, 2023In this paper, a novel task offloading architecture called Flex-MEC is proposed, which achieves efficient task allocation and scheduling (TAS) between MEC servers.
Haojun Teng +5 more
semanticscholar +1 more source
Digital Twin-Assisted, SFC-Enabled Service Provisioning in Mobile Edge Computing
IEEE Transactions on Mobile ComputingMobile Edge Computing (MEC) has been identified as a desirable computing paradigm that provides efficient and effective services for various applications, while meeting stringent service delay requirements.
Jing Li +6 more
semanticscholar +1 more source
IEEE Transactions on Services Computing
Microservices as an emerging architecture are creating new opportunities to enable superior network services in Mobile Edge Computing (MEC). In the presence of huge amounts of user requests, the massive communications among microservices have become ...
Kai Peng +4 more
semanticscholar +1 more source
Microservices as an emerging architecture are creating new opportunities to enable superior network services in Mobile Edge Computing (MEC). In the presence of huge amounts of user requests, the massive communications among microservices have become ...
Kai Peng +4 more
semanticscholar +1 more source
Multi-Agent Deep Reinforcement Learning for Task Offloading in UAV-Assisted Mobile Edge Computing
IEEE Transactions on Wireless Communications, 2022Mobile edge computing can effectively reduce service latency and improve service quality by offloading computation-intensive tasks to the edges of wireless networks.
Nan Zhao +4 more
semanticscholar +1 more source