Energy-Aware Fault Tolerant Task offloading of Mobile Cloud Computing

Author(s):  
Sura Khalil Abd ◽  
S. A. R. Al-Haddad ◽  
Fazirulhisyam Hashim ◽  
Azizol B. H. J. Abdullah ◽  
Salman Yussof

The mobile computing and cloud computing together form into Mobile Cloud Computing (MCC). The mobile devices have some limitations like computation power, battery life, etc., These limitations can be overcome by integrating with the cloud technology. Even in this case, delay will be introduced due to WAN properties during the offloading process of the tasks from mobile environment to cloud environment. This is reduced with the use of cloudlet environment. In this paper, fault tolerant dynamic task offloading with cloudlets in mobile cloud computing is proposed. The technical process of resisting against diseases by the human is incorporated in MCC to fight against the faulty machines in the system. The proposed system is simulated using openstack++ and evaluated in terms of task completion time. The performance of the proposed system is compared with the algorithm where rescheduling is not carried out and DR approach [28] and is proved to be performing better.


Author(s):  
A Ahmed ◽  
A Abdul ◽  
K Omprakash ◽  
M Usman ◽  
O Syed ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-23
Author(s):  
Ahmed Aliyu ◽  
Abdul Hanan Abdullah ◽  
Omprakash Kaiwartya ◽  
Syed Hamid Hussain Madni ◽  
Usman Mohammed Joda ◽  
...  

Mobile cloud computing (MCC) holds a new dawn of computing, where the cloud users are attracted to multiple services through the Internet. MCC has a qualitative, flexible, and cost-effective delivery platform for providing services to mobile cloud users with the aid of the Internet. Due to the advantage of the delivery platform, several studies have been conducted on how to address different issues in MCC. The issues include energy efficiency in MCC, secured MCC, user-satisfied applications and Quality of Service-aware MCC (QoS). In this context, this paper qualitatively reviews different proposed MCC solutions. Therefore, taxonomy for MCC is presented considering major themes of research including energy-aware, security, applications, and QoS-aware developments. Each of these themes is critically investigated with comparative assessments considering recent advancements. Analysis of metrics and implementation environments used for evaluating the performance of existing techniques are presented. Finally, some open research issues and future challenges are identified based on the critical and qualitative assessment of literature for researchers in this field.


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