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Online Geographical Load Balancing for Mobile Edge Computing with Energy Harvesting
[article]
2017
arXiv
pre-print
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In this paper, we develop an algorithm called GLOBE that performs joint geographical load balancing (GLB) and admission control for optimizing the system performance of a network of MEC-enabled and energy ...
Mobile Edge Computing (MEC) (a.k.a. fog computing) has recently emerged to enable low-latency and location-aware data processing at the edge of mobile networks. ...
the mobile edge computing performance. ...
arXiv:1704.00107v3
fatcat:pizzd6cm4bf47eozie6rkmdkcm
Energy Efficient Deployment and Orchestration of Computing Resources at the Network Edge: a Survey on Algorithms, Trends and Open Challenges
[article]
2022
arXiv
pre-print
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Mobile networks are becoming energy hungry, and this trend is expected to continue due to a surge in communication and computation demand. ...
In doing so, we highlight the energy aspects of these algorithms, advocating the need for energy-sustainable edge computing systems that are aligned with Sustainable Development Goals (SDGs) and the Paris ...
The driving principles for these processes are: load balancing, job queue overflows, lack of processing/storage/energy resources at the edge servers, mobility-related optimizations, and service handover ...
arXiv:2209.14141v1
fatcat:r4wuoxztx5bm7k6z3s6q2pmuki
COMPARATIVE STUDY OF OPTIMIZED LOAD BALANCING MODELS USING FOG-CLOUD NETWORKS
2021
International Journal of Technical Research & Science
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The main objective of this study is to compare the results of load balancing algorithms which creates warehouse of data at very fast access rate to the mobile users. ...
Apart from that, there are various challenges in terms of load balancing over cloud which we need to handle very carefully sothat there is no congestion, less energy consumption and minimum delay in processing ...
.:2454-2024 (online) Cloud: Data centres with enough data storage and Processing Edge Data Centres: Limited data storage and Processing Edge Devices: Routers, Base Stations etc Fog nodes: Sensors, Mobile ...
doi:10.30780/specialissue-icaaset021/003
fatcat:7lkdbnmw5jb7vgo4wsm65xap5a
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.). ...
Summary When powerful computation capacities of edge servers are made available to mobile vehicles, it is important to balance the energy saving at vehicles and the energy consumption in transmitting and ...
arXiv:2108.11879v1
fatcat:l3fidzspwbhi5mmw55dds7vddu
International Trade Balance Algorithm Based on the Ownership Principle of Mobile Edge Computing
2021
Mathematical Problems in Engineering
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As an emerging mobile computing technology, mobile edge computing is an important key technology to improve the computing services of mobile devices. ...
This paper mainly studies the balance of international trade algorithm based on the principle of moving edge computing ownership. ...
Ownership Principle of Mobile Edge Computing 2.1. Mobile Edge Computing. e task scheduling process in mobile edge computing is shown in Figure 1 . ...
doi:10.1155/2021/5569833
doaj:6c12d2356d664779bd902fc026953a67
fatcat:4z6fvxccufac7facslxgahlrtu
Remote and Rural Connectivity: Infrastructure and Resource Sharing Principles
[article]
2021
arXiv
pre-print
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The performance evaluation conducted through simulations validates our analysis as the prediction variations observed shows greater accuracy between the harvested energy and the traffic load. ...
The proposed method demonstrates superior performance over the benchmark algorithm as it uses foresighted optimization where the harvested energy and the expected load are predicted over a given short-term ...
III Average prediction error (RMSE) for harvested energy and traffic load processes, both normalized in [0,1]. ...
arXiv:2110.01910v1
fatcat:bzwyfb2fqzh2jpmxedcmmyphxa
An Energy Efficient UAV-Based Edge Computing System with Reliability Guarantee for Mobile Ground Nodes
2021
Sensors
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To solve these problems, we propose an energy efficient UAV-based edge computing system with energy harvesting capability. ...
An unmanned aerial vehicle (UAV)-aided edge computing system can provide a flexible configuration for mobile ground nodes (MGN). ...
In this paper, we propose a UAV-based edge computing system with an energy harvesting capability [28, 29] . ...
doi:10.3390/s21248264
pmid:34960363
pmcid:PMC8707916
fatcat:rrrzijuk4nhbjkyauq2g6vktpy
A Survey on Mobile Edge Computing: The Communication Perspective
2017
IEEE Communications Surveys and Tutorials
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Driven by the visions of Internet of Things and 5G communications, recent years have seen a paradigm shift in mobile computing, from the centralized Mobile Cloud Computing towards Mobile Edge Computing ...
MEC promises dramatic reduction in latency and mobile energy consumption, tackling the key challenges for materializing 5G vision. ...
Moreover, online dynamic right-sizing algorithms that require less future information need to be developed. 2) Geographical Load Balancing for MEC: GLB is another key technique for green DCNs [192] , ...
doi:10.1109/comst.2017.2745201
fatcat:rkgkslqx4bg6vp4ynidiuzqtga
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art
2020
IEEE Access
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In particular, [114] considered a joint geographical load balancing and admission control for EH-based MEC networks which aims to minimize the long-term system cost due to violating the computation delay ...
For example, a batteryless user can utilize WPT to harvest energy from the BS, and then uses the harvested energy to offload computation tasks to the MEC server for remote computing. ...
doi:10.1109/access.2020.3001277
fatcat:isme7xwfejf4pfnowosljxnzja
Remote and Rural Connectivity: Infrastructure and Resource Sharing Principles
2021
Wireless Communications and Mobile Computing
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The performance evaluation conducted through simulations validates our analysis as the prediction variations observed show greater accuracy between the harvested energy and the traffic load. ...
The proposed method demonstrates superior performance over the benchmark algorithm as it uses foresighted optimization where the harvested energy and the expected load are predicted over a given short-term ...
At this regard, we note that the communication site will accept users as long as energy harvesting projections are positive. Then, Figure 6 shows the average energy savings for the edge system. ...
doi:10.1155/2021/6065119
fatcat:722lckfsyfhnzdryilcoo3ceuu
Cooperative in-network computation in energy harvesting device clouds
2017
Sustainable Computing: Informatics and Systems
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Our approach also improves energy balance of a WSN which is an important factor for its long-term autonomous operation. ...
In this paper, we present a theoretical model for computation offloading in micro-solar powered energy harvesting sensor devices. ...
Authors in [2] , for instance, discusses Mobile Edge Computing where mobile operators leverage resources of the edge devices in 5G rather than the centralized servers used in cloud computing for data ...
doi:10.1016/j.suscom.2017.10.006
fatcat:ifcaf66jbnbsnjod5c7enmt6la
A Survey on Mobile Edge Computing: The Communication Perspective
[article]
2017
arXiv
pre-print
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2017 pre-print arXiv:1701.01090v3 fatcat:fddwjvgj7zbfrdf4yuxin3l7xqOther Versions
Driven by the visions of Internet of Things and 5G communications, recent years have seen a paradigm shift in mobile computing, from the centralized Mobile Cloud Computing towards Mobile Edge Computing ...
MEC promises dramatic reduction in latency and mobile energy consumption, tackling the key challenges for materializing 5G vision. ...
Moreover, online dynamic right-sizing algorithms that require less future information need to be developed. 2) Geographical Load Balancing for MEC: GLB is another key technique for green DCNs [159] , ...
arXiv:1701.01090v4
fatcat:txpdpkp4irhibf6btbzvgth4n4
A Comprehensive Survey on Aerial Mobile Edge Computing: Challenges, State-of-the-Art, and Future Directions
[article]
2022
arXiv
pre-print
Preserved Fulltext
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The file type is application/pdf.
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. ...
allocation, UAV deployment, task scheduling and load balancing, interplay between aerial MEC and other technologies, as well as the machine-learning (ML)-driven optimization. ...
In this context, mobile edge computing (MEC) has been deemed a promising solution to address the above challenge. ...
arXiv:2208.13965v1
fatcat:rglkodmjsve2fbncmmyatqos6y
Energy Efficient UAV-Enabled Mobile Edge Computing for IoT Devices: A Review
2021
IEEE Access
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For a high data rate, it smartly allocates bandwidth offloading data at the edge.
4) Load Balancing and Secrecy Capacity To guarantee global load balance at the UAVs in [22] , a problem of minimum global ...
Information
Energy
Harvesting
[20] Minimization of Sum Power Con-
sumption of the System
[21] Minimization of Energy Consump-
tion of UAVs
[22] Minimizing Global Load Balance
and Slowdown ...
He is an Associated with Nanomagnetics Instruments Ltd, UK, as a research collaborator since 2006 and contributed positively for the development of different inventions in the field of scanning probe microscopy ...
doi:10.1109/access.2021.3112104
fatcat:wevv4vq4zfeptci2wey4jitt5e
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art
[article]
2020
arXiv
pre-print
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We also summarize testbeds and experimental evaluations, and open source activities, for edge computing. ...
Mobile edge computing (MEC), a key technology in the emerging fifth generation (5G) network, can optimize mobile resources by hosting compute-intensive applications, process large data before sending to ...
In particular, [112] considered a joint geographical load balancing and admission control for EH-based MEC networks which aims to minimize the long-term system cost due to violating the computation delay ...
arXiv:1906.08452v2
fatcat:krti5kagxzeqte7osdpxs4lxoe
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