A study on virtual machine deployment for application outsourcing in mobile cloud computing

2012 ◽  
Vol 63 (3) ◽  
pp. 946-964 ◽  
Author(s):  
Muhammad Shiraz ◽  
Saeid Abolfazli ◽  
Zohreh Sanaei ◽  
Abdullah Gani
Keyword(s):  
Cloud Computing ◽  
Virtual Machine ◽  
Mobile Cloud Computing ◽  
Mobile Cloud

scholarly journals Virtual Machine Selection Algorithm Based on User Requirements in Mobile Cloud Computing Environment

2018 ◽  
Vol 17 (2) ◽  
pp. 7335-7349
Author(s):  
Rashid Alakbarov
Keyword(s):  
Cloud Computing ◽  
Virtual Machine ◽  
Mobile Cloud Computing ◽  
Virtual Machines ◽  
Mobile User ◽  
Base Stations ◽  
Mobile Cloud ◽  
Software Applications ◽  
Wireless Metropolitan Area Networks ◽  
Cloud Technologies

The article analyzes the advantages of mobile cloud technologies and problems emerging during the use of those. The network infrastructure created based on cloudlets at the second level of mobile cloud computing with hierarchical structure is analyzed. At the same time, the article explores the issues of satisfaction of demand of mobile equipment for computing and memory resources by using these technologies. The article presents one solution for the allocation of mobile user requests in virtual machines created in cloudlets located near base stations of wireless metropolitan area networks (WMAN) in a balanced way by considering the technical capacity of those. Alongside, the article considers the solution of user problem during designated time and the issue of determining virtual machines satisfying other requirements. For this purpose, different characteristics of the stated problem, virtual machines, as well as communication channels between a user and virtual machines are considered. By using possible values determining the importance of cloudlets, conditions for loading software applications of a user to a virtual machine are explored and an appropriate method is proposed.

Explore virtual machine deployment to mobile cloud computing for multi-tenancy and energy conservation in wireless network

2017 ◽  
Vol 20 (4) ◽  
pp. 3263-3274 ◽  
Author(s):  
Yan Ding ◽  
Gaochao Xu ◽  
Chunyi Wu ◽  
Liang Hu ◽  
Yunan Zhai ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Energy Conservation ◽  
Wireless Network ◽  
Virtual Machine ◽  
Mobile Cloud Computing ◽  
Mobile Cloud

Traffic Aware Cross-Site Virtual Machine Migration in Future Mobile Cloud Computing

2014 ◽  
Vol 20 (1) ◽  
pp. 62-71 ◽  
Author(s):  
Jiaqiang Liu ◽  
Yong Li ◽  
Depeng Jin ◽  
Li Su ◽  
Lieguang Zeng
Keyword(s):  
Cloud Computing ◽  
Virtual Machine ◽  
Mobile Cloud Computing ◽  
Mobile Cloud ◽  
Virtual Machine Migration ◽  
Cross Site

scholarly journals A Comprehensive Survey On Cloud Computing Simulators

2021 ◽  
Vol 8 (1) ◽  
pp. 51-59
Author(s):  
Oladosu Oyebisi Oladimeji ◽  
Dasola Oyeyiola ◽  
Olayanju Oladimeji ◽  
Pelumi Oyeyiola
Keyword(s):  
Cloud Computing ◽  
Comparative Analysis ◽  
Virtual Machine ◽  
Mobile Cloud Computing ◽  
Mobile Cloud ◽  
Data Centre ◽  
Cloud Application ◽  
Comprehensive Survey ◽  
Set Up ◽  
Comprehensive Study

Cloud Computing is one of the upcoming technologies which has gotten the attention of many researchers and investor. But cloud computing still faces challenges because it is not economical and impractical for research institutions and industries to set up a physical cloud for research and experiments on it (cloud computing). Due to this, the researchers have chosen to test their contributions with simulators. Therefore, the purpose of this study is to perform a survey on existing cloud simulators. These cloud simulators aid in modeling cloud application through the creation of virtual machine, data Centre, and other thing which can be easily added and configured to it in order to provide stress free analysis. Till this present time, many cloud simulators with various features have been proposed and available for use. In this paper a comprehensive study has been performed on major cloud simulators by highlighting their features, strength and weakness through analysis. After which comparative analysis was done on the simulation, from the study, none of the simulators have the feature to simulate mobile cloud computing issues. This study has not been published anywhere else.

High-efficient energy saving processing of big data of communication under mobile cloud computing

2019 ◽  
Vol 10 (04) ◽  
pp. 1950025 ◽  
Author(s):  
Yazhen Liu ◽  
Pengfei Fan ◽  
Jiyang Zhu ◽  
Liping Wen ◽  
Xiongfei Fan
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Energy Consumption ◽  
Virtual Machine ◽  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Mobile Cloud Computing ◽  
Mobile Cloud ◽  
Migration Strategy ◽  
Bee Colony

From 21st century, it is hard for traditional storage and algorithm to provide service with high quality because of big data of communication which grows rapidly. Thus, cloud computing technology with relatively low cost of hardware facilities is created. However, to guarantee the quality of service in the situation of the rapid growth of data volume, the energy consumption cost of cloud computing begins to exceed the hardware cost. In order to solve the problems mentioned above, this study briefly introduced the virtual machine and its energy consumption model in the mobile cloud environment, introduced the basic principle of the virtual machine migration strategy based on the artificial bee colony algorithm and then simulated the performance of processing strategy to big data of communication based on artificial bee colony algorithm in mobile cloud computing environment by CloudSim3.0 software, which was compared with the performance of two algorithms, resource management (RM) and genetic algorithm (GA). The results showed that the power consumption of the migration strategy based on the artificial bee colony algorithm was lower than the other two strategies, and there were fewer failed virtual machines under the same number of requests, which meant that the service quality was higher.

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