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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. ...
Based on user behavior and demand, the computational tasks are first offloaded from mobile users to the mobile edge network and then executed at one or several specific base stations in the mobile edge ...
Finally, another work regarding optimization of energy consumption used a framework to harvest mobile device energy from a base station or able to offload tasks to sBSs for the same purpose of saving energy ...
doi:10.1155/2022/1121822
fatcat:agfciwfownfbrgkqcw2hxpwlte
DDPS: Dynamic Differential Pricing-based Edge Offloading System with Energy Harvesting Devices
[article]
2024
arXiv
pre-print
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Mobile edge computing (MEC) paves the way to alleviate the burden of energy and computation of mobile users (MUs) by offloading tasks to the network edge. ...
Secondly, for the offloading case, we formulate the game between the MUs and the server as a Stackelberg game, and propose a differential pricing algorithm to determine the optimal computing resources ...
Therefore, in this paper, we consider the edge offloading scenario with energy-harvesting devices to provide a sustainable power source for mobile IoT devices, for which not only mitigates the requirement ...
arXiv:2403.09991v1
fatcat:ps5c6eqg7fhdhdrjdilfqcp2um
A Survey on Mobility Management for MEC-enabled Systems
2019
Zenodo
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Mobile Edge Computing (MEC) is a new network architecture concept. ...
In this paper, the state-of-the-art research efforts towards handling user mobility in a MEC environment for different kinds of services are surveyed. Also, open research problems are discussed. ...
The authors alone are responsible for the content of the paper. ...
doi:10.5281/zenodo.4424864
fatcat:rxzahhhm4jc7rkobttchnosj3y
Guest Editorial Emerging Computing Offloading for IoTs: Architectures, Technologies, and Applications
2019
IEEE Internet of Things Journal
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We hope that the special issue can serve as a good reference for scientists, engineers, and academicians in the area of computation offloading in IoTs.
JIANNONG CAO ...
Xuemin Shen, for his help in the publication process. ...
In "Multivessel Computation Offloading in Maritime Mobile Edge Computing Network," the authors study the issue of computation task offloading for vessel terminals, with the objective to minimize the energy ...
doi:10.1109/jiot.2019.2921217
fatcat:yxc2v2whm5gtzhpefivtgt5uxy
Mobile Edge Computation Offloading Using Game Theory and Reinforcement Learning
[article]
2017
arXiv
pre-print
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Due to the ever-increasing popularity of resource-hungry and delay-constrained mobile applications, the computation and storage capabilities of remote cloud has partially migrated towards the mobile edge ...
In this article, we focus on the application of game theory and reinforcement learning for efficient distributed resource management in MEC, in particular, for computation offloading. ...
A reinforcement learning algorithm is developed for offloading computation jobs and activating edge servers while minimizing the overall cost and delay. ...
arXiv:1711.09012v1
fatcat:7gdl6q3dtfdctfudavpneukpju
Computation Offloading and User-Clustering Game in Multi-Channel Cellular Networks for Mobile Edge Computing
2023
Sensors
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Mobile devices may use mobile edge computing to improve energy efficiency and responsiveness by offloading computation tasks to edge servers. ...
In this work, we study the optimization problem of computation offloading to minimize the energy consumption of mobile devices in mobile edge computing by adaptively clustering devices to improve the transmission ...
Then, we can calculate the computation overhead in terms of delay and energy consumption for local computing and edge computing. ...
doi:10.3390/s23031155
pmid:36772194
pmcid:PMC9919130
fatcat:7j4zofgfxbas7n42gmy2zrgqdm
Towards Computation Offloading in Edge Computing: A Survey
2019
IEEE Access
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Various aspects of computation offloading, including energy consumption minimization, Quality of Services guarantee, and Quality of Experiences enhancement are surveyed. ...
Moreover, resource scheduling approaches, gaming and tradeoffing among system performance and overheads for computation offloading decision making are also reviewed. ...
[102] investigated the mobile edge cloud system with energy harvesting equipment, and design a dynamic computation offloading strategy. ...
doi:10.1109/access.2019.2938660
fatcat:qcpqojzxsnbsnmuez3x2ew4sqa
Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence
[article]
2022
arXiv
pre-print
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Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive and delay-sensitive tasks in fifth generation (5G) networks and beyond. ...
However, its uncertainty, referred to as dynamic and randomness, from the mobile device, wireless channel, and edge network sides, results in high-dimensional, nonconvex, nonlinear, and NP-hard optimization ...
among mobile devices due to its avoidance of data offloading to the central cloud and its capability of low-delay edge computing. ...
arXiv:2201.11410v4
fatcat:24igkq4kbrb2pjzwf3mf3n7qtq
Resource Scheduling in Edge Computing: A Survey
[article]
2021
arXiv
pre-print
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With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless networks, the surging demand for data communications and computing calls for the emerging edge computing paradigm ...
Specifically, we present the architecture of edge computing, under which different collaborative manners for resource scheduling are discussed. ...
the computation offloading problem for IoT devices in an energy harvesting scenario. ...
arXiv:2108.08059v1
fatcat:oo4lepcn3rhdfafefw5lkq2lia
Towards Mobile Edge Computing: Taxonomy, Challenges, Applications and Future Realms
2020
figshare.com
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The Mobile Edge Computing (MEC) paradigm is one of the effective solutions, which brings the cloud computing services to the proximityof the edge network and leverages the available resources. ...
However, deploying cloud computing for delay critical applications and reducing the delay in access to the resources are challenging. ...
et al. proposed a computation offloading algorithm based on game theory (COA-GT) for vehicular edge network (VEN)
FIGURE 5 . 5 Mobile Edge Computing: Applications and challenges. ...
doi:10.6084/m9.figshare.13147607.v1
fatcat:ni77edahzfhifgqtl22o565ygi
Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence
2022
IEEE Access
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Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive and delay-sensitive tasks in fifth generation (5G) networks and beyond. ...
INDEX TERMS Mobile edge computing (MEC), network uncertainty, reinforcement learning (RL). ...
among mobile devices due to its avoidance of data offloading to the central cloud and its capability of low-delay edge computing. ...
doi:10.1109/access.2022.3183647
fatcat:pd5z6q4innd5jl25g4r7b4nq3i
Towards Mobile Edge Computing: Taxonomy, Challenges, Applications and Future Realms
2020
IEEE Access
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application offloading in mobile edge computing. ...
This protocol achieves good performance for the energy consumption, delay and the ratio of computational offloading. ...
doi:10.1109/access.2020.3026938
fatcat:rfboh327g5flnn3a6ueq5tv44q
2020 Index IEEE Transactions on Mobile Computing Vol. 19
2021
IEEE Transactions on Mobile Computing
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., +, TMC Nov. 2020 2489-2504
Learning-Aided Computation Offloading for Trusted Collaborative Mobile
Edge Computing. ...
., +, TMC Sept. 2020 2129-2144
Learning-Aided Computation Offloading for Trusted Collaborative Mobile
Edge Computing. ...
doi:10.1109/tmc.2020.3036773
fatcat:6puiux5lp5bfvjo47ey7ycwyfu
A Comprehensive Survey on Aerial Mobile Edge Computing: Challenges, State-of-the-Art, and Future Directions
[article]
2022
arXiv
pre-print
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Mobile edge computing (MEC) has been deemed a promising solution to settle the conflict between the resource-hungry mobile applications and the resource-constrained IoT users. ...
Driven by the visions of Internet of Things (IoT), there is an ever-increasing demand for computation resources of IoT users to support diverse applications. ...
In order to minimize the computing delay, an exact potential game (EPG) is formulated and a distributed offloading algorithm is designed to achieve the Nash equilibrium (NE). ...
arXiv:2208.13965v1
fatcat:rglkodmjsve2fbncmmyatqos6y
Green Internet of Vehicles (IoV) in the 6G Era: Toward Sustainable Vehicular Communications and Networking
[article]
2021
arXiv
pre-print
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In this paper, we present the main considerations for green IoV from five different scenarios, including the communication, computation, traffic, Electric Vehicles (EVs), and energy harvesting management ...
, charging management, energy harvesting and sharing, etc.) and the related factors affecting energy efficiency (e.g., resource limitation, channel state, network topology, traffic condition, etc.). ...
Vehicular edge computing (VEC) enables vehicles to offload computation-intensive tasks to network edge servers for saving energy consumption. ...
arXiv:2108.11879v1
fatcat:l3fidzspwbhi5mmw55dds7vddu
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