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Leveraging Intelligent Computation Offloading with Fog/Edge Computing for Tactile Internet: Advantages and Limitations

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Leveraging Intelligent Computation Offloading with Fog/Edge Computing for Tactile Internet: Advantages and Limitations

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dc.contributor.author Mukherjee, Mithun es_ES
dc.contributor.author Guo, Mian es_ES
dc.contributor.author Lloret, Jaime es_ES
dc.contributor.author Zhang, Qi es_ES
dc.date.accessioned 2022-11-07T16:34:35Z
dc.date.available 2022-11-07T16:34:35Z
dc.date.issued 2020-10 es_ES
dc.identifier.issn 0890-8044 es_ES
dc.identifier.uri http://hdl.handle.net/10251/189357
dc.description.abstract [EN] With the recent advancement in wireless communication and networks, we are at the doorstep of the Tactile Internet. The Tactile Internet aims to enable the skill delivery and thereafter democratize the specialized skills for many emerging applications (e.g., remote medical, industrial machinery, remote robotics, autonomous driving). In this article, we start with the motivation of applying intelligent edge computing for computation offloading in the Tactile Internet. Afterward, we outline the main research challenges to leverage edge intelligence at the master, network, and controlled domain of the Tactile Internet. The key research challenges in the Tactile Internet lie in its stringent requirements such as ultra-low latency, ultra-high reliability, and almost zero service outage. We also discuss major entities in intelligent edge computing and their role in the Tactile Internet. Finally, several potential research challenges in edge intelligence for the Tactile Internet are highlighted. es_ES
dc.description.sponsorship This work was supported in part by the National Natural Science Foundation of China under Grant 61901128, and Agile Edge Intelligence for Delay Sensitive IoT (AgilE-IoT) project (Grant No. 9131-00119B) of Independent Research Fund Denmark (DFF). es_ES
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers es_ES
dc.relation.ispartof IEEE Network es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Internet es_ES
dc.subject Haptic interfaces es_ES
dc.subject Reliability es_ES
dc.subject Task analysis es_ES
dc.subject Robot sensing systems es_ES
dc.subject Wireless communication es_ES
dc.title Leveraging Intelligent Computation Offloading with Fog/Edge Computing for Tactile Internet: Advantages and Limitations es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1109/MNET.001.2000004 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/NSFC//61901128
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Mukherjee, M.; Guo, M.; Lloret, J.; Zhang, Q. (2020). Leveraging Intelligent Computation Offloading with Fog/Edge Computing for Tactile Internet: Advantages and Limitations. IEEE Network. 34(5):322-329. https://doi.org/10.1109/MNET.001.2000004 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1109/MNET.001.2000004 es_ES
dc.description.upvformatpinicio 322 es_ES
dc.description.upvformatpfin 329 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 34 es_ES
dc.description.issue 5 es_ES
dc.relation.pasarela S\473177 es_ES
dc.contributor.funder National Natural Science Foundation of China


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