Content area

Abstract

Conference Title: 2017 Seventh International Conference on Innovative Computing Technology (INTECH)

Conference Start Date: 2017, Aug. 16

Conference End Date: 2017, Aug. 18

Conference Location: Luton, United Kingdom

Fog computing is a distributed computing infrastructure that is aimed towards providing supports for IoT devices and analytics. With the rapid increase in the number of ubiquitous network devices often referred to as IoT devices, new forms of mobility, resource allocation and management is imminent in Fog infrastructures since different applications have different requirements especially in terms of response time. Moreover, for some IoT devices application execution requests are forwarded to cloud data centers that are geographically distributed, through fog layer in which currently user mobility is not taken into consideration that leads to the increase in response time. On the other hand, data generation, processing and distribution can be handled at the network edges by fog layer which reduces network traffic that leads to low delay. This paper describes our research experience in addressing the problem of resource allocation and user mobility from the network edge up to the distributed cloud data centers. We propose an efficient algorithm that works with Seamless Handover Scheme for mobile IPV6 and suggest scheduling policies to alleviate the user mobility challenge in order to reduce the application response time.

Details

Business indexing term
Title
User mobility and resource scheduling and management in fog computing to support IoT devices
Source details
2017 Seventh International Conference on Innovative Computing Technology (INTECH)
Pages
191-196
Number of pages
6
Publication year
2017
Publication date
2017
Publisher
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Place of publication
Piscataway
Country of publication
United States
Source type
Conference Paper
Language of publication
English
Document type
Conference Proceedings
ProQuest document ID
1962318059
Document URL
https://www.proquest.com/conference-papers-proceedings/user-mobility-resource-scheduling-management-fog/docview/1962318059/se-2?accountid=208611
Copyright
Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2017
Last updated
2025-09-24
Database
ProQuest One Academic