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A collaborative computation and dependency-aware task offloading method for vehicular edge computing: a reinforcement learning approach
2022
Journal of Cloud Computing: Advances, Systems and Applications
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In this paper, an efficient dependency-aware task offloading scheme for VEC with vehicle-edge-cloud collaborative computation is proposed, where subtasks can be processed locally or can be offloaded to ...
AbstractVehicular edge computing (VEC) is emerging as a new computing paradigm to improve the quality of vehicular services and enhance the capabilities of vehicles. ...
Acknowledgements The authors would like to thank the staff and postgraduate students at the School of Big Data and Intelligent Engineering of Southwest Forestry University for their assistance and valuable ...
doi:10.1186/s13677-022-00340-3
fatcat:laprh4ext5hf5b5c4yasc6uabq
Task partitioning and offloading in IoT cloud-edge collaborative computing framework: a survey
2022
Journal of Cloud Computing: Advances, Systems and Applications
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We also propose comprehensive taxonomy metrics for comparing task partitioning and offloading approaches in the IoT cloud-edge collaborative computing framework. ...
However, most of the current research work focuses on designing efficient offloading strategies and service orchestration. ...
[11] The authors focused on architecture, computation migration, edge caching, and service orchestration in task offloading. ...
doi:10.1186/s13677-022-00365-8
fatcat:3ogennvxojhzlbhm4lwvcgxlxu
Mobile Edge Computing in Space-Air-Ground Integrated Networks: Architectures, Key Technologies and Challenges
2022
Journal of Sensor and Actuator Networks
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By deploying computing, cache, and communication resources in the edge of mobile networks, SAGIN MEC provides both low latency, high bandwidth, and wide coverage, substantially improving the quality of ...
Then, the MEC deployment, network resources, edge intelligence, optimization objectives and key algorithms in SAGIN are discussed in detail. ...
The authors in [76] designed a collaborative service framework with the following three modes: fine-grained, medium-grained, and coarse-grained. ...
doi:10.3390/jsan11040057
fatcat:fynjhaiofvgb5ouqecohokbynq
2021 Index IEEE Transactions on Parallel and Distributed Systems Vol. 32
2022
IEEE Transactions on Parallel and Distributed Systems
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., +, TPDS Nov. 2021 2764-2776
Offloading Tasks With Dependency and Service Caching in Mobile Edge
Computing. ...
., +, TPDS Oct. 2021 2557-2570
Delays
FRATO: Fog Resource Based Adaptive Task Offloading for Delay-Minimiz-
ing IoT Service Provisioning. ...
doi:10.1109/tpds.2021.3107121
fatcat:e7bh2xssazdrjcpgn64mqh4hb4
A Review of Techniques and Methods for IoT Applications in Collaborative Cloud-Fog Environment
2020
Security and Communication Networks
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In this paper, the concepts and characteristics of cloud and fog computing are introduced, followed by the comparison and collaboration between them. ...
We summarize main challenges IoT faces in new application requirements (e.g., low latency, network bandwidth constraints, resource constraints of devices, stability of service, and security) and analyze ...
of extensible computing resources. is model, consisting of physical or virtual fog nodes which are context-aware, facilitates the deployment of delay-aware and distributed applications and services. ...
doi:10.1155/2020/8849181
fatcat:7nnstq2xrnb7tbxxpilykyh6fq
Task-Offloading and Resource Allocation Strategy in Multidomain Cooperation for IIoT
2023
Processes
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and high delay in closed-loop data processing. ...
allocation in IIoT for flexible and dynamic resource allocation among intelligent terminals, edge servers, and cluster networks. ...
On the other hand, considering the extremely low delay requirements of closed-loop management for several IIoT applications in the manufacturing workshop, computing tasks require more fine-grained offloading ...
doi:10.3390/pr11010132
fatcat:fz4tmpyhpzftrmoed53mndbwvq
Computation Offloading in Mobile Cloud Computing and Mobile Edge Computing: Survey, Taxonomy, and Open Issues
2022
Mobile Information Systems
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Cloud and mobile edge computing (MEC) provides a wide range of computing services for mobile applications. ...
A large number of enterprises and individuals rely on services offered by mobile edge and clouds to meet their computational and storage demands. ...
Fine Grain. ...
doi:10.1155/2022/1121822
fatcat:agfciwfownfbrgkqcw2hxpwlte
A New Heuristic Computation Offloading Method Based on Cache-Assisted Model
2022
Wireless Communications and Mobile Computing
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Mobile edge computing (MEC) solves the high latency problem of cloud computing by offloading tasks to edge servers. ...
Due to limited resources, it is necessary to improve the efficiency of computation offloading. ...
The edge systems support fine-grained access to different dimensions of data [8] . ...
doi:10.1155/2022/3501329
fatcat:q6sjngwvgjc23pkbbvykn66qau
Guest Editorial: In-Network Computing: Emerging Trends for the Edge-Cloud Continuum
2021
IEEE Network
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Fine-grain optimization needs to address the mismatch between end-to-end semantics and computing-aware hop-by-hop decision making based on local execution of service-specific functions or telemetry results ...
service credibility in edge computing empowered by in-network computing. ...
doi:10.1109/mnet.2021.9606835
fatcat:jgyacbi7hba3zo466nrb7q3uma
A Review: Scheduling Methods in Serverless Edge Computing
2023
International research journal of innovations in engineering and technology
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Using serverless edge computing, we can run the fine-grained requests on serverless platform by scheduler within coordination item. ...
It is a new understood in which brings computational resources proximity to edge node network which permits the computation of tasks which triggers the program carry out as a reply for assigned events. ...
The serverless edge computing contributes to execute the fine-grained tasks from end-edge to cloud and highlights only on scheduling the coarse tasks, this allows in surging the advantage of the resources ...
doi:10.47001/irjiet/2023.702005
fatcat:inlb3nearrezbftkjbiokrre44
Edge Offloading in Smart Grid
[article]
2024
arXiv
pre-print
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Moreover, edge offloading can play a pivotal role for the next-generation smart grid AI applications because it enables the efficient utilization of computing resources and addresses the challenges of ...
In this paper, we delve into smart grid and computational distribution architec-tures, including edge-fog-cloud models, orchestration architecture, and serverless computing, and analyze the decision-making ...
The algorithm divides mobile applications into fine-grained tasks with sequential and parallel topology. ...
arXiv:2402.01664v1
fatcat:xvq4v5t6hrgrbpeupvh2j3ikly
Guest Editorial: Special Issue on High-Confidence City IoT for Collaborative Smart City Services
2020
IEEE Internet of Things Journal
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In "Intelligent offloading for collaborative smart city services in edge computing," Xu et al. studied an intelligent offloading method (IOM) for smart city applications, considering privacy preservation ...
In "Collaborate edge and cloud computing with distributed deep learning for smart city Internet of Things," Wu et al. considered the heterogeneity of edge and central cloud servers in the offloading destination ...
doi:10.1109/jiot.2020.3021495
dblp:journals/iotj/YuCDKL20
fatcat:qhvogwzf7rfgnea3ftj4eivs4m
Review on Offloading of Vehicle Edge Computing
2022
Journal of Artificial Intelligence and Technology
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Vehicle edge computing (VEC) is a new technology that can extend computing and storage functions to the edge of the Internet of Things (IoT) systems. ...
For limited computing power and delay sensitive mobile applications on the Internet of Vehicles (IOV). It is important to offload computing tasks to the end of the VEC network. ...
Rehman et al. proposed reputation aware fine-grained joint learning based on blockchain to ensure credible cooperative training in MEC systems [54] . ...
doi:10.37965/jait.2022.0120
fatcat:cdmk3tyrlrhl3g4nqhk5wlwnlm
Implementation analysis of IoT-based offloading frameworks on cloud/edge computing for sensor generated big data
2021
Complex & Intelligent Systems
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compared with the MAUI, AnyRun Computing (ARC), AutoScaler, Edge computing and Context-Sensitive Model for Offloading System (CoSMOS) frameworks. ...
The data collected by the device sensors are in vast amount and require high-speed computation and processing, which demand advanced resources. ...
Acknowledgements This work has been carried out in wireless sensor network research facility in Computer Science and Engineering department of Chitkara University, India. ...
doi:10.1007/s40747-021-00434-6
fatcat:q7itavmy6vhjrouldk4qbuuecu
Recent Advances in Collaborative Scheduling of Computing Tasks in an Edge Computing Paradigm
2021
Sensors
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However, if they together offload all the overloaded computing tasks to an edge server, it can be overloaded, thereby resulting in the high processing delay of many computing tasks and unexpectedly high ...
In edge computing, edge devices can offload their overloaded computing tasks to an edge server. ...
When it faces highly complex computing tasks and services, cloud computing [1, 2] can process these tasks to achieve device-cloud collaboration. ...
doi:10.3390/s21030779
pmid:33498910
pmcid:PMC7865659
fatcat:sogp322oengsxlldizjjw4fsqy
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