Toward Hierarchical Mobile Edge Computing: An Auction-Based Profit Maximization Approach
The multitiered concept of Internet of Things (IoT) devices, cloudlets, and clouds is facilitating a user-centric IoT. However, in such three tier network, it is still desirable to investigate efficient strategies to offer the computing, storage, and communications resources to the users. To this en...
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| Published in: | IEEE internet of things journal Vol. 4; no. 6; pp. 2082 - 2091 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
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Piscataway
IEEE
01.12.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 2327-4662, 2327-4662 |
| Online Access: | Get full text |
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| Abstract | The multitiered concept of Internet of Things (IoT) devices, cloudlets, and clouds is facilitating a user-centric IoT. However, in such three tier network, it is still desirable to investigate efficient strategies to offer the computing, storage, and communications resources to the users. To this end, this paper proposes a new hierarchical model by introducing the concept of field, shallow, and deep cloudlets where the cloudlet tier itself is designed in three hierarchical levels based on the principle of LTE-advanced backhaul network. Accordingly, we explore a two time scale approach in which the computing resources are offered in an auction-based profit maximization manner and then the communications resources are allocated to satisfy the users' quality of service. |
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| AbstractList | The multitiered concept of Internet of Things (IoT) devices, cloudlets, and clouds is facilitating a user-centric IoT. However, in such three tier network, it is still desirable to investigate efficient strategies to offer the computing, storage, and communications resources to the users. To this end, this paper proposes a new hierarchical model by introducing the concept of field, shallow, and deep cloudlets where the cloudlet tier itself is designed in three hierarchical levels based on the principle of LTE-advanced backhaul network. Accordingly, we explore a two time scale approach in which the computing resources are offered in an auction-based profit maximization manner and then the communications resources are allocated to satisfy the users' quality of service. |
| Author | Ansari, Nirwan Kiani, Abbas |
| Author_xml | – sequence: 1 givenname: Abbas surname: Kiani fullname: Kiani, Abbas email: abbas.kiani@njit.edu organization: Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA – sequence: 2 givenname: Nirwan surname: Ansari fullname: Ansari, Nirwan email: nirwan.ansari@njit.edu organization: Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA |
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| SubjectTerms | Cloud computing Computational modeling Computer architecture Computing time Edge computing Hierarchical network architecture Internet of Things Internet of Things (IoT) Maximization Mobile communication Mobile communication systems Mobile computing mobile edge computing Profit maximization Resource management User satisfaction Wireless communications |
| Title | Toward Hierarchical Mobile Edge Computing: An Auction-Based Profit Maximization Approach |
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