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Applied Sciences
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Mobile Cloud Computing
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Mobile Cloud Computing

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: closed (30 June 2018) | Viewed by 12393

Special Issue Editors

Prof. Dr. Seng W. Loke

E-Mail Website
Guest Editor
Distributed Systems & Internet of Things Cluster and Centre for Cyber Security Research and Innovation, School of Information Technology, Deakin University, Melbourne, VIC 3125, Australia
Interests: Internet of Things; mobile cloud computing; fog computing; edge computing; intelligent transport systems
Special Issues, Collections and Topics in MDPI journals
Dr. Chii Chang

E-Mail Website
Guest Editor
Mobile & Cloud Lab, Institute of Computer Science, University of Tartu, Ülikooli 18, Tartu 50090, Estonia
Interests: Internet of Things; fog and edge computing; mobile cloud computing; service-oriented architecture; context-aware computing; workflow management systems
Dr. Niroshinie Fernando

E-Mail Website
Guest Editor
School of Information Technology, Deakin University, 221 Burwood Hwy, Burwood, VIC 3125, Australia
Interests: Internet of Things; fog/edge computing; mobile computing; natural language processing

Special Issue Information

Dear Colleagues,

In last decade, mobile computing and ubiquitous computing have swiftly evolved from earlier content access to today’s service provisioning. Mobile devices have become smart devices, embedded with numerous mechanisms, including, but are not limited to:

  • sensing the users and their surrounding environments,
  • interacting with proximal devices to form a collaborative distributed computing group,
  • enabling social connectivity,
  • hosting embedded Web services to provide data derived from the mobile devices themselves to remote service requesters

Further, by integrating cloud computing technologies with mobile devices, their computational, networking, and storage capabilities can be extended, and be able to support even more promising services to their users. Notably, the integration between mobile and cloud triggered the discipline of Mobile Cloud Computing (MCC).

Today, a broad range of applications have applied MCC as a key component. MCC is also somewhat synonymous with Edge Computing and Fog Computing, and can take forms such as integration with the greater Cloud or decentralized as a group of cooperative crowd of devices. The Internet of Things (IoT) and Cyber-Physical Systems (CPS) have utilized MCC to seamlessly integrate mobile sensors/actuators with cloud-centric management systems. Big Data analytics systems have utilized MCC to acquire various data related to people and urban objects. Ambient Assist Living (AAL), aged/eldercare or mobile-health systems have utilized MCC to provide real-time human activities analytics and event detection. Agricultural technology have used IoT to collect data and edge computing solutions provide an important mechanism for efficient processing. MCC has become a core enabler of various information systems, from transport, health to agriculture. However, it also continues to raise many research challenges derived from the dynamic nature of mobile network environments (e.g., connectivity, mobility) and the constraint resources of mobile devices (e.g., hardware limitations, battery life).

This Special Issue aims to discuss the state-of-the-art in mobile cloud computing, including architecture design, emerging technologies, software engineering approaches, adaptation and optimization solutions, novel MCC applications and so forth.

Prof. Dr. Seng W. Loke
Dr. Chii Chang
Dr. Niroshinie Fernando
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Mobile/smartphone sensing
  • Mobile crowd sensing
  • Mobile social network
  • Mobile workflow/business-process management
  • Mobile Internet of Things
  • Mobile fog/edge computing
  • Mobile/multi-access edge computing
  • Process placement, migration and optimization
  • Mobile big data
  • Internet of Things and MCC
  • MCC for autonomous vehicles, transport, agriculture, health and other domains

Published Papers (2 papers)

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Research

12 pages, 564 KiB  
Article
Hierarchical Mobile Edge Computing Architecture Based on Context Awareness
by Juyong Lee and Jihoon Lee
Appl. Sci. 2018, 8(7), 1160; https://doi.org/10.3390/app8071160 - 17 Jul 2018
Cited by 33 | Viewed by 5368
Abstract
Due to the recent developments in mobile network technology and the supply of mobile devices, services that require high computing power and fast access speed, such as machine learning and multimedia streaming, are attracting attention. Mobile Edge Computing (MEC) has emerged. MEC allows [...] Read more.
Due to the recent developments in mobile network technology and the supply of mobile devices, services that require high computing power and fast access speed, such as machine learning and multimedia streaming, are attracting attention. Mobile Edge Computing (MEC) has emerged. MEC allows servers to be located close to users to efficiently handle these services and provides users with ultra-low latency content delivery and powerful computing services. However, there has been a lack of research into the architecture required to efficiently use the computing power and resources of MEC. So, this paper proposes hierarchical MEC architecture in which MEC servers (MECS) are arranged in a hierarchical scheme to provide users with rapid content delivery, high computing performance, and efficient use of server resources. Full article
(This article belongs to the Special Issue Mobile Cloud Computing)
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32 pages, 17250 KiB  
Article
A User-Centered Mobile Cloud Computing Platform for Improving Knowledge Management in Small-to-Medium Enterprises in the Chilean Construction Industry
by Daniela Núñez, Ximena Ferrada, Andrés Neyem, Alfredo Serpell and Marcos Sepúlveda
Appl. Sci. 2018, 8(4), 516; https://doi.org/10.3390/app8040516 - 28 Mar 2018
Cited by 11 | Viewed by 6499
Abstract
Knowledge management (KM) is a key element for the development of small-to-medium enterprises (SMEs) in the construction industry. This is particularly relevant in Chile, where this industry is composed almost entirely of SMEs. Although various KM system proposals can be found in the [...] Read more.
Knowledge management (KM) is a key element for the development of small-to-medium enterprises (SMEs) in the construction industry. This is particularly relevant in Chile, where this industry is composed almost entirely of SMEs. Although various KM system proposals can be found in the literature, they are not suitable for SMEs, due to usability problems, budget constraints, and time and connectivity issues. Mobile Cloud Computing (MCC) systems offer several advantages to construction SMEs, but they have not yet been exploited to address KM needs. Therefore, this research is aimed at the development of a MCC-based KM platform to manage lessons learned in different construction projects of SMEs, through an iterative and user-centered methodology. Usability and quality evaluations of the proposed platform show that MCC is a feasible and attractive option to address the KM issues in SMEs of the Chilean construction industry, since it is possible to consider both technical and usability requirements. Full article
(This article belongs to the Special Issue Mobile Cloud Computing)
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