Mobile Cloud Computing Future Trends and Opportunities

Umair, Sajid; Muneer, Umair; Zahoor, Muhammad Nauman; Malik, Asad Waqar

doi:10.4018/978-1-4666-9767-6.ch007

Cited by 7 publications

(2 citation statements)

References 11 publications

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“…Cloud computing is known to be a promising solution for mobile computing due to mobility, communication, and portability [5][6][7][8]. Mobile applications based on cloud enable mobile users to store or access large data through wireless networks.…”

Section: Methodsmentioning

confidence: 99%

An Efficient Cloud based Image Target Recognition SDK for Mobile Applications

Arshad¹,

Lam²,

Obeidy³

et al. 2017

International Journal on Advanced Science, Engineering and Information Technology

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Smartphones have exploded in popularity in recent years, becoming ever more sophisticated and capable especially when these devices try to access the shared pool of computing resources provided by the cloud, on demand. Mobile services such as image target recognition SDK may enrich their functionality by delegating heavy tasks to the clouds as the remote processing. This paper proposes an image target recognition SDK based on cloud with the main goal of lightweight implementation on mobile devices based on processing performed over the cloud. In such circumstances, the focus of the proposed image target recognition SDK needs to be on effectiveness, robustness, and simplicity, while still preserving a high level of functionality (i.e. good recognition). Application areas involve android library development, pattern recognition, and web portal development. The applications mentioned in this paper bring an added value by being success stories for mobile cloud computing domain in general

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Section: Methodsmentioning

confidence: 99%

An Efficient Cloud based Image Target Recognition SDK for Mobile Applications

Arshad¹,

Lam²,

Obeidy³

et al. 2017

International Journal on Advanced Science, Engineering and Information Technology

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show abstract

“…6 In addition, data processing on a local device impacts the device’s battery life, and this is currently one of its greatest drawbacks. 34…”

Section: Current Issues and Challenges Of Smartphone Applications In Hospital Care Settingsmentioning

confidence: 99%

Clinical decision support systems in hospital care using ubiquitous devices: Current issues and challenges

Baig

GholamHosseini

Moqeem

et al. 2017

Health Informatics J

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Supporting clinicians in decision making using advanced technologies has been an active research area in biomedical engineering during the past years. Among a wide range of ubiquitous systems, smartphone applications have been increasingly developed in healthcare settings to help clinicians as well as patients. Today, many smartphone applications, from basic data analysis to advanced patient monitoring, are available to clinicians and patients. Such applications are now increasingly integrating into healthcare for clinical decision support, and therefore, concerns around accuracy, stability, and dependency of these applications are rising. In addition, lack of attention to the clinicians' acceptability, as well as the low impact on the medical professionals' decision making, are posing more serious issues on the acceptability of smartphone applications. This article reviews smartphone-based decision support applications, focusing on hospital care settings and their overall impact of these applications on the wider clinical workflow. Additionally, key challenges and barriers of the current ubiquitous device-based healthcare applications are identified. Finally, this article addresses current challenges, future directions, and the adoption of mobile healthcare applications.

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