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Dynamic fog computing: Practical processing at mobile edge devices
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posted on 2019-01-01, 00:00 authored by Sander Soo, Chii Chang, Seng LokeSeng Loke, Satish Narayana SriramaThe emerging Internet of Things (IoT) systems enhance various mobile ubiquitous applications such as augmented reality, environmental analytics, etc. However, the common cloud-centric IoT systems face limitations on the agility needed for real-time applications. This motivates the Fog computing architecture, where IoT systems distribute their processes to the computational resources at the edge networks near data sources and end-users. Although fog computing is a promising solution, it also raises a challenge in mobility support for mobile ubiquitous applications. Lack of proper mobility support will increase the latency due to various factors such as package drop, re-assigning tasks to fog servers, etc. To address the challenge, this chapter proposes a dynamic and proactive fog computing approach, which improves the task distribution process in fog-assisted mobile ubiquitous applications and optimizes the task allocation based on runtime context information. The authors have implemented and validated a proof-of-concept prototype and the chapter discusses the findings.
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Title of book
Algorithms, methods, and applications in mobile computing and communicationsSeries
Advances in Computer and Electrical Engineering (ACEE) Book SeriesChapter number
2Pagination
24 - 47Publisher
IGI GlobalPlace of publication
Hershey, Pa.Publisher DOI
ISSN
2327-039XeISSN
2327-0403ISBN-13
9781522556930Language
engPublication classification
B1 Book chapterExtent
10Editor/Contributor(s)
Agustinus Borgy WaluyoUsage metrics
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