Tradeoff between performance improvement and energy saving in mobile cloud offloading systems

2013 ◽  
Author(s):  
Huaming Wu ◽  
Qiushi Wang ◽  
Katinka Wolter
Keyword(s):  
Energy Saving ◽  
Performance Improvement ◽  
Mobile Cloud

scholarly journals COMPUTATIONAL OFFLOADING FOR PERFORMANCE IMPROVEMENT AND ENERGY SAVING IN MOBILE DEVICES

2019 ◽  
Vol 1 (04) ◽  
pp. 225-234
Author(s):  
Dr.Joy Iong Zong Chen
Keyword(s):  
Mobile Devices ◽  
Performance Improvement ◽  
Vital Role ◽  
Cloud Services ◽  
Battery Life ◽  
Mobile Cloud ◽  
External Device ◽  
Battery Lifetime ◽  
Computational Offloading ◽  
Storage Energy

The mobiles devices such as the smart phones and the wearables take a vital role in our daily life scenario as they are been used as alternative for many devices apart from communication. The mobile devices that are controlled in terms of dimensions and weightiness to make them easy and flexible for handling in turn limits the computational energy, storage and the lifetime of the battery. So this entails the need for the external device to support the mobile devices by providing a computational power, storage and energy, this is known as the computational offloading. So the paper puts forth the mobile cloud services as an external platform to offload the resource intensive computation tasks of the mobile devices to enhance the performance of the mobile devices in terms of storage, energy consumption and battery life. The performance evaluation of the mobile cloud based offloading in the mobile devices proves the efficiency of the proffered method in terms of storage, energy and battery lifetime.

scholarly journals Phone2Cloud: Exploiting computation offloading for energy saving on smartphones in mobile cloud computing

2013 ◽  
Vol 16 (1) ◽  
pp. 95-111 ◽  
Author(s):  
Feng Xia ◽  
Fangwei Ding ◽  
Jie Li ◽  
Xiangjie Kong ◽  
Laurence T. Yang ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Energy Saving ◽  
Mobile Cloud Computing ◽  
Computation Offloading ◽  
Mobile Cloud

scholarly journals An energy efficient service composition mechanism using a hybrid meta-heuristic algorithm in a mobile cloud environment

2020 ◽  
Author(s):  
Godar J. Ibrahim ◽  
Tarik A. Rashid ◽  
Mobayode O. Akinsolu
Keyword(s):  
Energy Saving ◽  
Service Composition ◽  
Human Life ◽  
Minimum Energy ◽  
Cloud Service ◽  
High Energy ◽  
Mobile Cloud ◽  
Energy Aware ◽  
Mobile Cloud Service ◽  
Cloud Service Composition

<p>By increasing mobile devices in technology and human life, using a runtime and mobile services has gotten more complex along with the composition of a large number of atomic services. Different services are provided by mobile cloud components to represent the non-functional properties as Quality of Service (QoS), which is applied by a set of standards. On the other hand, the growth of the energy-source heterogeneity in mobile clouds is an emerging challenge according to the energy-saving problem in mobile nodes. To mobile cloud service composition as an NP-Hard problem, an efficient selection method should be taken by problem using optimal energy-aware methods that can extend the deployment and interoperability of mobile cloud components. Also, an energy-aware service composition mechanism is required to preserve high energy saving scenarios for mobile cloud components. In this paper, an energy-aware mechanism is applied to optimize mobile cloud service composition using a hybrid Shuffled Frog Leaping Algorithm and Genetic Algorithm (SFGA). Experimental results capture that the proposed mechanism improves the feasibility of the service composition with minimum energy consumption, response time, and cost for mobile cloud components against some current algorithms. </p>

Sign in / Sign up

Export Citation Format

Share Document