scholarly journals A Mobile Application Offloading Algorithm for Mobile Cloud Computing

Author(s):  
Amal Ellouze ◽  
Maurice Gagnaire ◽  
Ahmed Haddad
2015 ◽  
Vol 6 (4) ◽  
pp. 19-38
Author(s):  
Amal Ellouze ◽  
Maurice Gagnaire

An application's offloading algorithm to over go the limitations of mobile terminals, namely their lack of computing capacity and limited battery autonomy is introduced. The proposed Mobile Application's Offloading algorithm enables to shift applicative jobs from mobile handsets to remote servers. The novelty of MAO consists in considering the Quality of Experience as an additional decision test before proceeding to application offloading. Based on various traffic scenarios, researchers study the efficiency of the MAO algorithm and show its performance in terms of rejected jobs and energy savings. First, the researchers consider the case where the application servers were placed systematically at the antenna's site. For a more realistic context of Mobile Cloud Computing, they extend the analysis by considering the case where the remote servers can be placed at different splitting points of the infrastructure. They assess by means of closed-forms fitting functions the performance of the MAO algorithm. Authors end this article with proposing an optimized applications servers placement.


2015 ◽  
pp. 230-255
Author(s):  
Dušan Barać ◽  
Miloš Radenković ◽  
Branislav Jovanić

This chapter discusses providing mobile learning services on cloud. Mobile cloud computing brings numerous benefits and enables overcoming technical constraints of mobile learning. The main techniques and approaches in mobile cloud computing are analyzed. A model for mobile learning services delivering through cloud computing is proposed. Several examples of mobile learning services implementations on cloud are presented: Android native application that provides Moodle learning management system features and a SMS service and mobile application for managing the infrastructure of e-learning system.


2017 ◽  
Vol 11 (2) ◽  
pp. 858-867 ◽  
Author(s):  
Xiumin Wang ◽  
Jin Wang ◽  
Xin Wang ◽  
Xiaoming Chen

2019 ◽  
Vol 8 (3) ◽  
pp. 1088-1095
Author(s):  
Shihab A. Hameed ◽  
Ali Nirabi ◽  
Mohamed Hadi Habaebi ◽  
Alaa Haddad

Mobile applications in emergency health care help maintain patient confidentiality and manage patient records, data storage. Compiles and analyzes care of better quality care. new implementations come with new goals and technologies like using mobile application with cloud computing system and reducing the responding time to safe the patient life and give the patient best health care professional service transition to using of mobile application in emergency healthcare, this paper will present (MCCEH) mobile cloud computing in emergency health care model, mainly reducing the wasting time in emergency health care, The process starting once the accident occurred and the patient run the application, mobile application will detect the patient location and allow him to book nearest medical center or specialist in some emergency cases once the patient did the booking will send help request to medical center this process will include an online pre-register patient in the medical center to save time of patient registration, MCCEH model allows the patients to review the previous feedback and experiences of each specialist or medical center and allows doctors to be able to stay in contact with their patients more often and by communication through mobiles applications and share messages and photos of the accident or emergency case itself.


2016 ◽  
pp. 1027-1052
Author(s):  
Dušan Barać ◽  
Miloš Radenković ◽  
Branislav Jovanić

This chapter discusses providing mobile learning services on cloud. Mobile cloud computing brings numerous benefits and enables overcoming technical constraints of mobile learning. The main techniques and approaches in mobile cloud computing are analyzed. A model for mobile learning services delivering through cloud computing is proposed. Several examples of mobile learning services implementations on cloud are presented: Android native application that provides Moodle learning management system features and a SMS service and mobile application for managing the infrastructure of e-learning system.


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