An efficient mobility prediction model for resource allocation in mobile cloud computing

2021 ◽  
Vol 25 (1) ◽  
pp. 149-157
Author(s):  
Praveena Akki ◽  
V. Vijayarajan
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Path Loss ◽  
Prediction Method ◽  
Access Point ◽  
Mobile Cloud ◽  
Mobility Prediction ◽  
Cloud Server ◽  
History Of ◽  
Cloud Resources

Mobile cloud computing (MCC) is a technology which provides cloud server resources to mobile users with optimized latency. MCC allows mobile device to access cloud resources and to offload tasks to cloud let servers at any time and from anywhere. The cloud let servers are attached to wireless Access points. But mobility plays an important role which leads to the loss of connectivity of mobile devices because of varying signal strengths. On the other hand, optimal code execution is a challenge. In this paper, a connectivity base mobility prediction method is proposed to assign the cloud resources to the user without loss in the connection. The past accessing history of the users and path loss factors are taken into consideration to predict proper access point. From the performance evaluation the performance of the proposed method is increased by 15.23% when compared to other existing methods.

scholarly journals Data Security of Mobile Cloud Computing on Cloud Server

OALib ◽  
2016 ◽  
Vol 03 (04) ◽  
pp. 1-11 ◽  
Author(s):  
Mohammad Waseem ◽  
Abdullah Lakhan ◽  
Irfan Ali Jamali
Keyword(s):  
Cloud Computing ◽  
Data Security ◽  
Mobile Cloud Computing ◽  
Mobile Cloud ◽  
Cloud Server

scholarly journals FEATHER: A Proposed Lightweight Protocol for Mobile Cloud Computing Security

2020 ◽  
Vol 10 (4) ◽  
pp. 6116-6125
Author(s):  
A. Alamer ◽  
B. Soh
Keyword(s):  
Cloud Computing ◽  
Mobile Devices ◽  
Communication Channel ◽  
Mobile Cloud Computing ◽  
Security Protocol ◽  
Mobile Cloud ◽  
Battery Power ◽  
Cloud Server ◽  
Cloud Servers ◽  
Short Time

Ensuring security for lightweight cryptosystems in mobile cloud computing is challenging. Encryption speed and battery consumption must be maintained while securing mobile devices, the server, and the communication channel. This study proposes a lightweight security protocol called FEATHER which implements MICKEY 2.0 to generate keystream in the cloud server and to perform mobile device decryption and encryption. FEATHER can be used to implement secure parameters and lightweight mechanisms for communication among mobile devices and between them and a cloud server. FEATHER is faster than the existing CLOAK protocol and consumes less battery power. FEATHER also allows more mobile devices to communicate at the same time during very short time periods, maintain security for more applications with minimum computation ability. FEATHER meets mobile cloud computing requirements of speed, identity, and confidentiality assurances, compatibility with mobile devices, and effective communication between cloud servers and mobile devices using an unsafe communication channel.

scholarly journals Secured Cloud Resources Scheme Using Multi-Process Technique

2021 ◽  
pp. 155-160
Author(s):  
N. Divya
Keyword(s):  
Cloud Computing ◽  
Mobile Devices ◽  
Mobile Cloud Computing ◽  
Network Connectivity ◽  
Life Time ◽  
Battery Life ◽  
Mobile Cloud ◽  
Cloud Server ◽  
Frame Work ◽  
Day By Day

Cloud computing is a variety of service provider through the internet mobile cloud computing is a simplicity cloud computing in which same mobile devices included among them. As the mobile devices increasing in large number day by day. In existing system Mobile cloud computing used to overcome the limitations of smart phones such as battery life time, limited computational power, size of memory and uncertain network connectivity . To overcome this limitations in offloading technique novel frame work will be used in this files from user are transmitted to cloud in single path. This is more time consuming and takes more time in transmitting files. Proposed system we use this technique in edge cloud computing server to reduce latency and also to reduce energy consumption and perform task with efficiency. In addition parallelization is used for the execution of the method in cloud server to reduce energy and execution time.

mMedia: An Efficient Transmission Policy for Multimedia Applications using Mobile Cloud Computing

2019 ◽  
Vol 9 (1) ◽  
pp. 32-42 ◽  
Author(s):  
Rajesh Kumar Verma ◽  
Chhabi Rani Panigrahi ◽  
Bibudhendu Pati ◽  
Joy Lal Sarkar
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Optimization Technique ◽  
Multimedia Applications ◽  
Mobile Cloud ◽  
The People ◽  
Rich Media ◽  
Time Average ◽  
Audio Video ◽  
Efficient Transmission

Background & Objective: Multimedia aggregates various types of media such as audio, video, images, animations, etc., to form a rich media content which produces an everlasting effect in the minds of the people. Methods: In order to process multimedia applications using mobile devices, we encounter a big challenge as these devices have limited resources and power. To address these limitations, in this work, we have proposed an efficient approach named as mMedia, wherein multimedia applications will utilize the multi cloud environment using Mobile Cloud Computing (MCC), for faster processing. The proposed approach selects the best available network. The authors have also considered using the Lyapunov optimization technique for efficient transmission between the mobile device and the cloud. Results: The simulation results indicate that mMedia can be useful for various multimedia applications by considering the energy delay tradeoff decision. Conclusion: The results have been compared alongside the base algorithm SALSA on the basis of different parameters like time average queue backlog, delay and time average utility and indicate that the mMedia outperforms in all the aspects.

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