A device-to-device task offloading system for mobile device cloud computing

2014 ◽  
Author(s):  
Ye Huang
Keyword(s):  
Cloud Computing ◽  
Mobile Device ◽  
Device To Device ◽  
Mobile Device Cloud ◽  
Task Offloading

scholarly journals Quality-of-Experience-Aware Incentive Mechanism for Workers in Mobile Device Cloud

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Sajeeb Saha ◽  
Md. Ahsan Habib ◽  
Tamal Adhikary ◽  
Md. Abdur Razzaque ◽  
Md. Mustafizur Rahman ◽  
...  
Keyword(s):  
Mobile Device ◽  
Quality Of Experience ◽  
Incentive Mechanism ◽  
Mobile Device Cloud

Recent Advances Delivered in Mobile Cloud Computing's Security and Management Challenges

2020 ◽  
pp. 21-43
Author(s):  
Christos Stergiou ◽  
Kostas E. Psannis
Keyword(s):  
Cloud Computing ◽  
Mobile Device ◽  
Mobile Cloud Computing ◽  
New Method ◽  
Encryption Algorithm ◽  
Mobile Cloud ◽  
Cloud Environment ◽  
Computational Power ◽  
Access To Data ◽  
Aes Encryption Algorithm

Mobile cloud computing provides an opportunity to restrict the usage of huge hardware infrastructure and to provide access to data, applications, and computational power from every place and in any time with the use of a mobile device. Furthermore, MCC offers a number of possibilities but additionally creates several challenges and issues that need to be addressed as well. Through this work, the authors try to define the most important issues and challenges in the field of MCC technology by illustrating the most significant works related to MCC during recent years. Regarding the huge benefits offered by the MCC technology, the authors try to achieve a more safe and trusted environment for MCC users in order to operate the functions and transfer, edit, and manage data and applications, proposing a new method based on the existing AES encryption algorithm, which is, according to the study, the most relevant encryption algorithm to a cloud environment. Concluding, the authors suggest as a future plan to focus on finding new ways to achieve a better integration MCC with other technologies.

scholarly journals Proximity as a Service for the Use Case of Access Enhancement Via Cellular Network-Assisted Mobile Device-to-Device

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 31562-31573
Author(s):  
Tianhao Guo ◽  
John Schormans ◽  
Lexi Xu ◽  
Jinze Wu ◽  
Yue Cao
Keyword(s):  
Mobile Device ◽  
Cellular Network ◽  
Use Case ◽  
Device To Device

scholarly journals New Application Task Offloading Algorithms for Edge, Fog, and Cloud Computing Paradigms

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Sungwook Kim
Keyword(s):  
Cloud Computing ◽  
Superior Performance ◽  
Bargaining Solution ◽  
Simulation Studies ◽  
Research Issues ◽  
Application Service ◽  
Primary Advantage ◽  
Strategic Solution ◽  
Future Work ◽  
Task Offloading

In the last few years, we have seen an exponential increase in the number of computation-intensive applications, which have resulted in the popularity of fog and cloud computing paradigms among smart-chip-embedded mobile devices. These devices can partially offload computation tasks either using the fog system or using the cloud system. In this study, we design a new task offloading scheme by considering the challenges of future edge, fog and cloud computing paradigms. To provide an effective solution toward an appropriate task offloading problem, we focus on two cooperative bargaining game solutions—Tempered Aspirations Bargaining Solution (TABS) and Gupta-Livne Bargaining Solution (GLBS). To maximize the application service quality, a proper bargaining solution should be properly selected. In the proposed scheme, the TABS method is used for time-sensitive offloading services, and the GLBS method is applied to ensure computation-oriented offloading services. The primary advantage of our bargaining-based approach is to provide an axiom-based strategic solution for the task offloading problem while dynamically responding to the current network environments. Extensive simulation studies are conducted to demonstrate the effectiveness of the proposed scheme, and the superior performance over existing schemes is observed. Finally, we show prime directions for future work and potential research issues.

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