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Towards Mobile Edge Computing: Taxonomy, Challenges, Applications and Future Realms

Junaid Qadir, Beatriz Sainz-De-Abajo, Anwar Khan, Begona Garcia-Zapirain, Isabel De La Torre-Diez, Hasan Mahmood
2020 IEEE Access  
However, it has compromised energy consumption for the higher data traffic. 2) EATO An energy aware task offloading (EATO) mechanism in multiuser mobile-edge cloud computing is proposed in [105] , in  ...  However, it has an unbalancing delivery latency for mobility preference. 2) MEC3 To achieve an ultra-low latency in maritime communication, mobile edge communications, computing, and caching (MEC3) technology  ... 
doi:10.1109/access.2020.3026938 fatcat:rfboh327g5flnn3a6ueq5tv44q

Towards Mobile Edge Computing: Taxonomy, Challenges, Applications and Future Realms

Junaid Qadir
2020 figshare.com  
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.  ...  However, it has compromised energy consumption for the higher data traffic. 2) EATO An energy aware task offloading (EATO) mechanism in multiuser mobile-edge cloud computing is proposed in [99] , in  ... 
doi:10.6084/m9.figshare.13147607.v1 fatcat:ni77edahzfhifgqtl22o565ygi

Blockchain and Fog Based Architecture for Internet of Everything in Smart Cities

Parminder Singh, Anand Nayyar, Avinash Kaur, Uttam Ghosh
2020 Future Internet  
Fog computing (FC) is used to reduce the energy consumption and latency for the heterogeneous communication approaches in the smart cities' applications of the Internet of Everything (IoE).  ...  The goal of the proposed architecture is to reduce the latency and energy, and ensure improved security features through Blockchain technology.  ...  .; data curation, A.K. and A.N.; writing-original draft preparation, P.S., A.K. and A.N.; writing-review and editing, A.N., P.S. and U.G.; visualization, P.S.; supervision, A.N. and U.G.; project administration  ... 
doi:10.3390/fi12040061 fatcat:tc77kjengrfmrpuuthopf4y53e

Moving from cloud to fog: scenarios and security concerns

Aradhana
2018 International Journal of Recent Scientific Research  
Consequently skyrocketing data access needs require a new paradigm that can provide wide spread geographical distribution, location awareness and low latency.  ...  ARTICLE INFO ABSTRACT With the increasing needs of on demand availability of data and ubiquitous access to shared pools of system resources cloud computing has emerged as a successful paradigm to meet  ...  features such as edge location, location awareness and low latency.  ... 
doi:10.24327/ijrsr.2018.0904.1976 fatcat:4oyi5a2eabeapfncsqkhbbfcra

Fog computing and its role in the internet of things

Flavio Bonomi, Rodolfo Milito, Jiang Zhu, Sateesh Addepalli
2012 Proceedings of the first edition of the MCC workshop on Mobile cloud computing - MCC '12  
Defining characteristics of the Fog are: a) Low latency and location awareness; b) Wide-spread geographical distribution; c) Mobility; d) Very large number of nodes, e) Predominant role of wireless access  ...  Fog Computing extends the Cloud Computing paradigm to the edge of the network, thus enabling a new breed of applications and services.  ...  . • Edge location, location awareness, and low latency.  ... 
doi:10.1145/2342509.2342513 dblp:conf/sigcomm/BonomiMZA12 fatcat:uifutka3yfhs5ajj5niaua2cmi

Multi-access edge computing enabled internet of things: advances and novel applications

Rongbo Zhu, Lu Liu, Houbing Song, Maode Ma
2020 Neural computing & applications (Print)  
emerged with a significance to change our life, and also is raising the challenging research issues due to the requirements of low latency, deployment independence, location awareness and mobility support  ...  models, resource allocation and scheduling, power efficient data processing and cooperative decisionmaking mechanisms in edge.  ...  John MacIntyre, for giving us this great opportunity, and the members of the Editorial Staff for their support during the process.  ... 
doi:10.1007/s00521-020-05267-x fatcat:wfrqu2a6offdrh2qzitsxclv7u

A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications

Shuo Wang, Xing Zhang, Yan Zhang, Lin Wang, Juwo YANG, Wenbo Wang
2017 IEEE Access  
Mobile edge networks provide cloud computing and caching capabilities at the edge of cellular networks.  ...  Therefore, new architectures which bring network functions and contents to the network edge are proposed, i.e., mobile edge computing and caching.  ...  ACKNOWLEDGMENT The authors would like to thank the editor and the anonymous reviewers for their constructive comments and suggestions, which improve the quality of this paper.  ... 
doi:10.1109/access.2017.2685434 fatcat:omhcphk735czrnmjnwkoory6hq

Special Issue on Artificial-Intelligence-Powered Edge Computing for Internet of Things

Lei Yang, Xu Chen, Samir M. Perlaza, Junshan Zhang
2020 IEEE Internet of Things Journal  
By pushing data storage, computing, and controls closer to the network edge, edge computing has been widely recognized as a promising solution to meet the requirements of low latency, high scalability,  ...  In the article "Energy-efficient processing and robust wireless cooperative transmission for edge inference," Yang et al. presented an energy-efficient edge processing framework to execute deep learning  ... 
doi:10.1109/jiot.2020.3019948 fatcat:mogalqnhnnaqpbxb7zivzdhvry

[Invited Paper] Overview of Multimedia Mobile Edge Computing

Kenji Kanai, Kentaro Imagane, Jiro Katto
2018 ITE Transactions on Media Technology and Applications  
Recently, to cover a larger region, and to provide lowlatency connectivity and resourceful computing, Mobile Abstract Recently, to provide a low-latency mobile computing platform, Mobile Edge Computing  ...  longer latency for data exchange between the cloud and end devices.  ...  The edge server provides its own computing resource to the MEC subscribers to provide low latency computing for latencysensitive applications, such as AR, VR and autonomous cars.  ... 
doi:10.3169/mta.6.46 fatcat:ppbijaho5rbdfeckcwethvptbq

EdgeXAR: A 6-DoF Camera Multi-target Interaction Framework for MAR with User-friendly Latency Compensation

Wenxiao Zhang, Sikun Lin, Farshid Hassani Bijarbooneh, Hao-Fei Cheng, Tristan Braud, Pengyuan Zhou, Lik-Hang Lee, Pan Hui
2022 Proceedings of the ACM on Human-Computer Interaction  
The computational capabilities of recent mobile devices enable the processing of natural features for Augmented Reality (AR), but the scalability is still limited by the devices' computation power and  ...  We propose a hybrid tracking system for mobile devices that provides lightweight tracking with 6 Degrees of Freedom and hides the offloading latency from users' perception.  ...  • A fine-grained edge offloading pipeline that minimizes the overall recognition latency and mobile energy consumption in mobile scenarios.• Extensive evaluation of EdgeXAR for both edge and cloud computing  ... 
doi:10.1145/3532202 fatcat:agfgkfxetzd7fpmm5naete4p34

Offloading SLAM for Indoor Mobile Robots with Edge-Fog-Cloud Computing

V. K. Sarker, J. Pena Queralta, T. N. Gia, H. Tenhunen, T. Westerlund
2019 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)  
For such robots, computation-intensive operations account for a significant percentage of the total energy consumption and consequently affect battery life.  ...  More recently, Fog and Edge computing are being leveraged for offloading tasks such as image processing and complex navigation algorithms involving non-linear mathematical operations.  ...  Edge and Fog computing help to reduce energy consumption of sensor nodes and diminish overall latency [10] , [11] .  ... 
doi:10.1109/icasert.2019.8934466 fatcat:fe7f3phzmnel7dljchzyysoq6m

Recent Advances in Evolving Computing Paradigms: Cloud, Edge, and Fog Technologies

Nancy A Angel, Dakshanamoorthy Ravindran, P M Durai Raj Vincent, Kathiravan Srinivasan, Yuh-Chung Hu
2021 Sensors  
It still is and continues to be the best practice for implementing complex computational applications, emphasizing the massive processing of data.  ...  The trend of deploying machine learning (ML) at the network edge to enhance computing applications and services has gained momentum lately, specifically to reduce latency and energy consumed while optimizing  ...  Thus, these drawbacks cause mobile computing to be inept for applications with demands for low latency, robustness, and when huge data generated from mobile devices need to be processed and stored on it  ... 
doi:10.3390/s22010196 pmid:35009740 pmcid:PMC8749780 fatcat:syxfgjxg45hkvbgny4hxlxas4e

Artificial intelligence for edge service optimization in Internet of Vehicles: A survey

Xiaolong Xu, Haoyuan Li, Weijie Xu, Zhongjian Liu, Liang Yao, Fei Dai
2022 Tsinghua Science and Technology  
Edge Computing (EC) that deploys physical resources near road-side units is involved in IoV to support real-time services for vehicular users.  ...  Secondly, we review the edge service frameworks for IoV and explore the use of AI in edge server placement and service offloading.  ...  In Ref. [81], the authors studied the energy consumption in offloading processes and built a model for visual analysis based on queue theory.  ... 
doi:10.26599/tst.2020.9010025 fatcat:zgakvppxojawjb7cto4tu6237u

A Survey on Mobile Augmented Reality with 5G Mobile Edge Computing: Architectures, Applications and Technical Aspects

Yushan Siriwardhana, Pawani Porambage, Madhusanka Liyanage, Mika Ylinattila
2021 IEEE Communications Surveys and Tutorials  
The emerging 5G communication technologies act as critical enablers for future MAR applications to achieve ultra-low latency and extremely high data rates while Multi-access Edge Computing (MEC) brings  ...  Index Terms-5G, multi-access edge computing (MEC), cloud, mobile augmented reality (MAR), augmented reality (AR), network architecture.  ...  The edge layer consists of a local gateway used for data caching for sending content to IAR devices and a cloudlet capable of carrying out computations requiring low latency.  ... 
doi:10.1109/comst.2021.3061981 fatcat:qhtiurwj7rahxoutjodyqvm6te

MobiQoR: Pushing the Envelope of Mobile Edge Computing Via Quality-of-Result Optimization

Yongbo Li, Yurong Chen, Tian Lan, Guru Venkataramani
2017 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS)  
Mobile edge computing aims at improving application response time and energy efficiency by deploying data processing at the edge of the network.  ...  Due to the proliferation of Internet of Things and interactive applications, the everincreasing demand for low latency calls for novel approaches to further pushing the envelope of mobile edge computing  ...  As smartphones and other mobile devices are becoming both data producers and consumers (e.g., recording and augmenting a video stream for visual enhancement), edge computing enables workload processing  ... 
doi:10.1109/icdcs.2017.54 dblp:conf/icdcs/LiCLV17 fatcat:nofiurhd2zadrlx4zblf3yrpua
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