Optimal resource reservation for offloaded tasks in mobile cloud computing

2017 ◽  
Author(s):  
V. Meena ◽  
M. HariPrasath ◽  
V. Kalpana ◽  
K. ArunKumar ◽  
J. SenthilKumar
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Resource Reservation ◽  
Mobile Cloud ◽  
Optimal Resource

Decentralized and Optimal Resource Cooperation in Geo-Distributed Mobile Cloud Computing

2018 ◽  
Vol 6 (1) ◽  
pp. 72-84 ◽  
Author(s):  
Rong Yu ◽  
Jiefei Ding ◽  
Sabita Maharjan ◽  
Stein Gjessing ◽  
Yan Zhang ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Mobile Cloud ◽  
Optimal Resource

A Mobile Cloud Computing System for Mathematical Computation

2015 ◽  
Vol 7 (3) ◽  
pp. 36-53
Author(s):  
Tyng-Yeu Liang ◽  
You-Jie Li
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Computing System ◽  
The Other ◽  
Mobile Cloud ◽  
Time Sharing ◽  
Cloud Computing System ◽  
Optimal Resource ◽  
License Management ◽  
Mathematical Computation

This paper is aimed at proposing a mobile cloud computing system called M2C (Mobile Math Cloud). This system provides users with an APP to accelerate the execution of MATLAB instructions and scripts on their Android-based mobile devices by taking advantage of diverse processors including CPUs and GPUs available in clouds. On the other hand, it supports time-sharing license management to reduce the user time of waiting system services and increase the resource utilization of clouds. Moreover, it supports parallel computing and optimal resource configurations for maximizing the performance of user applications, and faulty tolerance for recovering the contexts of user programs from system faults. With these supports, M2C provides a reliable and efficient service for mobile users to perform massive mathematical computation anytime anywhere.

scholarly journals Advanced Q-MAC: Optimal Resource Allocating for Dynamic Application in Mobile Cloud Computing Using QoS with Cache Memory

2018 ◽  
Vol 7 (3.1) ◽  
pp. 143
Author(s):  
K Tara Phani Surya Kiran ◽  
K V V Satyanarayana ◽  
P Yellamma
Keyword(s):  
Cloud Computing ◽  
Mobile Devices ◽  
Mobile Cloud Computing ◽  
Research Area ◽  
Extensive Study ◽  
Smart Devices ◽  
Process Time ◽  
Mobile Cloud ◽  
Technological Advancement ◽  
Optimal Resource

In the current era of technological advancement, mobile smart devices are being used extensively. As a result the requirements of these devices are also growing. With the help of Mobile Cloud Computing, these devices are able to communicate directly with the cloud and perform complex tasks which used to be very farfetched in the past. In such a scenario, the movement of mobile devices is the major research area. The challenge of maintaining a study link between these devices and the network is under extensive study. In this paper we propose a Advanced Q-MAC architecture for resource allocation of mobile devices. The proposed method improves the QoS of the system and higher efficiency and reliability. Experimental results show that the proposed method performs data offload better that the existing methods and has better results in terms of efficiency and process time.  

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