MODE: A context-aware iot middleware supporting on-demand deployment for mobile devices

Wei He, Jingbin Zhang, Meng Ma, Ping Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

With the development of Internet of Things (IoT), various mobile sensing devices emerge in the market, which brings great convenience to people's life. Middleware, as the connection platform of sensors and applications, has become increasingly important to solve the problem caused by diverse devices and changing environments. In this paper, we proposed MODE, a middleware that can dynamically change its deployment of function modules based on context awareness to adapt to environment changes. As a highly scalable middleware, MODE not only has basic tasks, but also provides developers with user-specific tasks, based on a highly-abstracted scripting language, which supports the application development in different scenarios and improves the efficiency. Besides, we design various function libraries in MODE that developers can load or unload them dynamically. MODE improves the efficiency, adaptability and scalability of IoT systems and applications.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 23rd International Conference on Parallel and Distributed Systems, ICPADS 2017
PublisherIEEE Computer Society
Pages81-88
Number of pages8
ISBN (Electronic)9781538621295
DOIs
StatePublished - 2 Jul 2017
Externally publishedYes
Event23rd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2017 - Shenzhen, China
Duration: 15 Dec 201717 Dec 2017

Publication series

NameProceedings of the International Conference on Parallel and Distributed Systems - ICPADS
Volume2017-December
ISSN (Print)1521-9097

Conference

Conference23rd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2017
Country/TerritoryChina
CityShenzhen
Period15/12/1717/12/17

Keywords

  • IoT
  • Middleware
  • Mobile devices
  • On-demand deployment
  • Scalability

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