Device-Enhanced MEC: Multi-Access Edge Computing (MEC) Aided by End Device Computation and Caching: A Survey
Multi-access edge computing (MEC) has recently been proposed to aid mobile end devices in providing compute- and data-intensive services with low latency. Growing service demands by the end devices may overwhelm MEC installations, while cost constraints limit the increases of the installed MEC compu...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8896954/ |
| _version_ | 1818349452892569600 |
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| author | Mahshid Mehrabi Dongho You Vincent Latzko Hani Salah Martin Reisslein Frank H. P. Fitzek |
| author_facet | Mahshid Mehrabi Dongho You Vincent Latzko Hani Salah Martin Reisslein Frank H. P. Fitzek |
| author_sort | Mahshid Mehrabi |
| collection | DOAJ |
| description | Multi-access edge computing (MEC) has recently been proposed to aid mobile end devices in providing compute- and data-intensive services with low latency. Growing service demands by the end devices may overwhelm MEC installations, while cost constraints limit the increases of the installed MEC computing and data storage capacities. At the same time, the ever increasing computation capabilities and storage capacities of mobile end devices are valuable resources that can be utilized to enhance the MEC. This article comprehensively surveys the topic area of device-enhanced MEC, i.e., mechanisms that jointly utilize the resources of the community of end devices and the installed MEC to provide services to end devices. We classify the device-enhanced MEC mechanisms into mechanisms for computation offloading and mechanisms for caching. We further subclassify the offloading and caching mechanisms according to the targeted performance goals, which include throughput maximization, latency minimization, energy conservation, utility maximization, and enhanced security. We identify the main limitations of the existing device-enhanced MEC mechanisms and outline future research directions. |
| first_indexed | 2024-12-13T18:06:11Z |
| format | Article |
| id | doaj.art-44edd1a5013649bdb3b3fcef9b9bfb03 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-13T18:06:11Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-44edd1a5013649bdb3b3fcef9b9bfb032022-12-21T23:36:03ZengIEEEIEEE Access2169-35362019-01-01716607916610810.1109/ACCESS.2019.29531728896954Device-Enhanced MEC: Multi-Access Edge Computing (MEC) Aided by End Device Computation and Caching: A SurveyMahshid Mehrabi0https://orcid.org/0000-0001-9712-4322Dongho You1https://orcid.org/0000-0003-3724-3244Vincent Latzko2https://orcid.org/0000-0003-2075-1648Hani Salah3https://orcid.org/0000-0002-1032-6659Martin Reisslein4https://orcid.org/0000-0003-1606-233XFrank H. P. Fitzek5https://orcid.org/0000-0001-8469-9573Deutsche Telekom Chair, Technische Universität Dresden, Dresden, GermanyDeutsche Telekom Chair, Technische Universität Dresden, Dresden, GermanyDeutsche Telekom Chair, Technische Universität Dresden, Dresden, GermanyDeutsche Telekom Chair, Technische Universität Dresden, Dresden, GermanySchool of Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, AZ, USADeutsche Telekom Chair, Technische Universität Dresden, Dresden, GermanyMulti-access edge computing (MEC) has recently been proposed to aid mobile end devices in providing compute- and data-intensive services with low latency. Growing service demands by the end devices may overwhelm MEC installations, while cost constraints limit the increases of the installed MEC computing and data storage capacities. At the same time, the ever increasing computation capabilities and storage capacities of mobile end devices are valuable resources that can be utilized to enhance the MEC. This article comprehensively surveys the topic area of device-enhanced MEC, i.e., mechanisms that jointly utilize the resources of the community of end devices and the installed MEC to provide services to end devices. We classify the device-enhanced MEC mechanisms into mechanisms for computation offloading and mechanisms for caching. We further subclassify the offloading and caching mechanisms according to the targeted performance goals, which include throughput maximization, latency minimization, energy conservation, utility maximization, and enhanced security. We identify the main limitations of the existing device-enhanced MEC mechanisms and outline future research directions.https://ieeexplore.ieee.org/document/8896954/Cachingcomputation offloadingdevice-to-device (D2D) communicationmobile edge computing (MEC) |
| spellingShingle | Mahshid Mehrabi Dongho You Vincent Latzko Hani Salah Martin Reisslein Frank H. P. Fitzek Device-Enhanced MEC: Multi-Access Edge Computing (MEC) Aided by End Device Computation and Caching: A Survey IEEE Access Caching computation offloading device-to-device (D2D) communication mobile edge computing (MEC) |
| title | Device-Enhanced MEC: Multi-Access Edge Computing (MEC) Aided by End Device Computation and Caching: A Survey |
| title_full | Device-Enhanced MEC: Multi-Access Edge Computing (MEC) Aided by End Device Computation and Caching: A Survey |
| title_fullStr | Device-Enhanced MEC: Multi-Access Edge Computing (MEC) Aided by End Device Computation and Caching: A Survey |
| title_full_unstemmed | Device-Enhanced MEC: Multi-Access Edge Computing (MEC) Aided by End Device Computation and Caching: A Survey |
| title_short | Device-Enhanced MEC: Multi-Access Edge Computing (MEC) Aided by End Device Computation and Caching: A Survey |
| title_sort | device enhanced mec multi access edge computing mec aided by end device computation and caching a survey |
| topic | Caching computation offloading device-to-device (D2D) communication mobile edge computing (MEC) |
| url | https://ieeexplore.ieee.org/document/8896954/ |
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