Next Article in Journal
Big Sensed Data Meets Deep Learning for Smarter Health Care in Smart Cities
Previous Article in Journal
Localization in Wireless Sensor Networks: A Survey on Algorithms, Measurement Techniques, Applications and Challenges
Open AccessReview

Multi-Criteria Decision Analysis Methods in the Mobile Cloud Offloading Paradigm

1
Institute of Computer Science, Masaryk University, 602 00 Brno, Czech Republic
2
Faculty of Informatics, Masaryk University, 602 00 Brno, Czech Republic
3
Applied Mathematics and Computer Science Laboratory, Cadi Ayyad University, Marrakech 40000, Morocco
*
Author to whom correspondence should be addressed.
J. Sens. Actuator Netw. 2017, 6(4), 25; https://doi.org/10.3390/jsan6040025
Received: 18 October 2017 / Revised: 6 November 2017 / Accepted: 10 November 2017 / Published: 13 November 2017
Mobile cloud computing (MCC) is becoming a popular mobile technology that aims to augment local resources of mobile devices, such as energy, computing, and storage, by using available cloud services and functionalities. The offloading process is one of the techniques used in MCC to enhance the capabilities of mobile devices by moving mobile data and computation-intensive operations to cloud platforms. Several techniques have been proposed to perform and improve the efficiency and effectiveness of the offloading process, such as multi-criteria decision analysis (MCDA). MCDA is a well-known concept that aims to select the best solution among several alternatives by evaluating multiple conflicting criteria, explicitly in decision making. However, as there are a variety of platforms and technologies in mobile cloud computing, it is still challenging for the offloading process to reach a satisfactory quality of service from the perspective of customers’ computational service requests. Thus, in this paper, we conduct a literature review that leads to a better understanding of the usability of the MCDA methods in the offloading operation that is strongly reliant on the mobile environment, network operators, and cloud services. Furthermore, we discuss the challenges and opportunities of these MCDA techniques for offloading research in mobile cloud computing. Finally, we recommend a set of future research directions in MCDA used for the mobile cloud offloading process. View Full-Text
Keywords: mobile cloud computing; offloading; mobile computing; cloud computing; network; MCDA; decision; criteria mobile cloud computing; offloading; mobile computing; cloud computing; network; MCDA; decision; criteria
Show Figures

Figure 1

MDPI and ACS Style

Bangui, H.; Ge, M.; Buhnova, B.; Rakrak, S.; Raghay, S.; Pitner, T. Multi-Criteria Decision Analysis Methods in the Mobile Cloud Offloading Paradigm. J. Sens. Actuator Netw. 2017, 6, 25.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop