scholarly journals A Compression based Energy Efficient Protocol for Mobile Cloud Computing

2019 ◽  
Vol 8 (6S3) ◽  
pp. 77-81
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Energy Efficient ◽  
Mobile Cloud Computing ◽  
End Users ◽  
Communication Process ◽  
Mobile Cloud ◽  
The World ◽  
Simulation Results ◽  
Primary Focus

the demands of the present society transformed the world from 4G to 5G communication system. One of the primary focus of 5G technology is cloud computing, where the end users can get the unavailable services from the cloud. An exceptional type of cloud computing is Mobile Cloud Computing (MCC), where the end users are mobile devices. In the MCC, the resources at the mobile device are constrained or limited. The energy consumption during communication process of MCC is directly proportional to the amount of the data to be transmitted. In this paper, we propose a new method to reduce the energy consumption in the MCC. The simulation results consolidate the claim.

scholarly journals Wireless-Uplinks-Based Energy-Efficient Scheduling in Mobile Cloud Computing

2015 ◽  
Vol 2015 ◽  
pp. 1-10
Author(s):  
Xing Liu ◽  
Chaowei Yuan ◽  
Zhen Yang ◽  
Enda Peng
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Energy Efficient ◽  
Mobile Cloud Computing ◽  
Scheduling Algorithm ◽  
Average Energy ◽  
Mobile Internet ◽  
Mobile Cloud ◽  
Average Energy Consumption ◽  
Energy Efficient Scheduling

Mobile cloud computing (MCC) combines cloud computing and mobile internet to improve the computational capabilities of resource-constrained mobile devices (MDs). In MCC, mobile users could not only improve the computational capability of MDs but also save operation consumption by offloading the mobile applications to the cloud. However, MCC faces the problem of energy efficiency because of time-varying channels when the offloading is being executed. In this paper, we address the issue of energy-efficient scheduling for wireless uplink in MCC. By introducing Lyapunov optimization, we first propose a scheduling algorithm that can dynamically choose channel to transmit data based on queue backlog and channel statistics. Then, we show that the proposed scheduling algorithm can make a tradeoff between queue backlog and energy consumption in a channel-aware MCC system. Simulation results show that the proposed scheduling algorithm can reduce the time average energy consumption for offloading compared to the existing algorithm.

scholarly journals Spontaneous Ad Hoc Mobile Cloud Computing Network

2014 ◽  
Vol 2014 ◽  
pp. 1-19 ◽  
Author(s):  
Raquel Lacuesta ◽  
Jaime Lloret ◽  
Sandra Sendra ◽  
Lourdes Peñalver
Keyword(s):  
Cloud Computing ◽  
Information Processing ◽  
Network Performance ◽  
Mobile Cloud Computing ◽  
Ad Hoc ◽  
Smart Devices ◽  
Mobile Cloud ◽  
Good Efficiency ◽  
Simulation Results ◽  
Personal Devices

Cloud computing helps users and companies to share computing resources instead of having local servers or personal devices to handle the applications. Smart devices are becoming one of the main information processing devices. Their computing features are reaching levels that let them create a mobile cloud computing network. But sometimes they are not able to create it and collaborate actively in the cloud because it is difficult for them to build easily a spontaneous network and configure its parameters. For this reason, in this paper, we are going to present the design and deployment of a spontaneous ad hoc mobile cloud computing network. In order to perform it, we have developed a trusted algorithm that is able to manage the activity of the nodes when they join and leave the network. The paper shows the network procedures and classes that have been designed. Our simulation results using Castalia show that our proposal presents a good efficiency and network performance even by using high number of nodes.

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