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...

Full description

Saved in:
Bibliographic Details
Published in:IEEE internet of things journal Vol. 4; no. 6; pp. 2082 - 2091
Main Authors: Kiani, Abbas, Ansari, Nirwan
Format: Journal Article
Language:English
Published: Piscataway IEEE 01.12.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
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
ISSN:2327-4662, 2327-4662
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2327-4662
2327-4662
DOI:10.1109/JIOT.2017.2750030