Toward Hierarchical Mobile Edge Computing: An Auction-Based Profit Maximization Approach
Document Type
Article
Publication Date
12-1-2017
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.
Identifier
85039158957 (Scopus)
Publication Title
IEEE Internet of Things Journal
External Full Text Location
https://doi.org/10.1109/JIOT.2017.2750030
e-ISSN
23274662
First Page
2082
Last Page
2091
Issue
6
Volume
4
Grant
CNS-1647170
Fund Ref
National Science Foundation
Recommended Citation
Kiani, Abbas and Ansari, Nirwan, "Toward Hierarchical Mobile Edge Computing: An Auction-Based Profit Maximization Approach" (2017). Faculty Publications. 9134.
https://digitalcommons.njit.edu/fac_pubs/9134
