A Two-Level Energy-Aware ILP Formulation for Application Mapping on a Mobile Cloud Infrastructure

2014 ◽  
pp. 131-144 ◽  
Author(s):  
Hamid Tabani ◽  
Mahmoud Reza Hashemi
Keyword(s):  
Mobile Cloud ◽  
Level Energy ◽  
Cloud Infrastructure ◽  
Energy Aware ◽  
Application Mapping

A Task-Centric Mobile Cloud-Based System to Enable Energy-Aware Efficient Offloading

2018 ◽  
Vol 3 (4) ◽  
pp. 248-261 ◽  
Author(s):  
Azzedine Boukerche ◽  
Shichao Guan ◽  
Robson Eduardo De Grande
Keyword(s):  
Mobile Cloud ◽  
Energy Aware

Energy-Aware Issues for Handling Big Data in Mobile Cloud Computing

2017 ◽  
pp. 233-256
Author(s):  
Chhabi Rani Panigrahi ◽  
Rajesh Kumar Verma ◽  
Joy Lal Sarkar ◽  
Bibudhendu Pati
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Mobile Cloud Computing ◽  
Mobile Cloud ◽  
Energy Aware

scholarly journals Energy-Aware Network-on-Chip Application Mapping Based on Domain Knowledge Genetic Algorithm

2014 ◽  
Vol 1 (1) ◽  
Author(s):  
Yin Zhen Tei ◽  
Yuan Wen Hau ◽  
N. Shaikh-Husin ◽  
Trias Andromeda ◽  
M. N. Marsono
Keyword(s):  
Genetic Algorithm ◽  
Domain Knowledge ◽  
Network On Chip ◽  
Energy Aware ◽  
Application Mapping ◽  
On Chip

scholarly journals Mobile Cloud Computing: Taxonomy and Challenges

2020 ◽  
Vol 2020 ◽  
pp. 1-23
Author(s):  
Ahmed Aliyu ◽  
Abdul Hanan Abdullah ◽  
Omprakash Kaiwartya ◽  
Syed Hamid Hussain Madni ◽  
Usman Mohammed Joda ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Cost Effective ◽  
Qualitative Assessment ◽  
The Internet ◽  
Mobile Cloud ◽  
Energy Aware ◽  
Research Issues ◽  
Delivery Platform ◽  
Cloud Users

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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