scholarly journals Competitive Partial Computation Offloading for Maximizing Energy Efficiency in Mobile Cloud Computing

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 899-912 ◽  
Author(s):  
Sanghong Ahn ◽  
Joohyung Lee ◽  
Sangdon Park ◽  
S. H. Shah Newaz ◽  
Jun Kyun Choi
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Computation Offloading ◽  
Mobile Cloud

High Performance Computing on Mobile Devices

2016 ◽  
pp. 334-348
Author(s):  
Atta ur Rehman Khan ◽  
Abdul Nasir Khan
Keyword(s):  
Cloud Computing ◽  
High Performance Computing ◽  
Mobile Devices ◽  
High Performance ◽  
Mobile Cloud Computing ◽  
Computation Offloading ◽  
Mobile Cloud ◽  
Computing Technology ◽  
Wide Range ◽  
Performance Computing

Mobile devices are gaining high popularity due to support for a wide range of applications. However, the mobile devices are resource constrained and many applications require high resources. To cater to this issue, the researchers envision usage of mobile cloud computing technology which offers high performance computing, execution of resource intensive applications, and energy efficiency. This chapter highlights importance of mobile devices, high performance applications, and the computing challenges of mobile devices. It also provides a brief introduction to mobile cloud computing technology, its architecture, types of mobile applications, computation offloading process, effective offloading challenges, and high performance computing application on mobile devises that are enabled by mobile cloud computing technology.

An Adaptive Approach Towards Computation Offloading for Mobile Cloud Computing

2019 ◽  
Vol 14 (2) ◽  
pp. 52-73 ◽  
Author(s):  
Archana Kero ◽  
Abhirup Khanna ◽  
Devendra Kumar ◽  
Amit Agarwal
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Computation Offloading ◽  
Mobile Cloud ◽  
Adaptive Computation ◽  
Proposed Model ◽  
Environment Variables ◽  
Real Time Information ◽  
Time Information

The widespread acceptability of mobile devices in present times have caused their applications to be increasingly rich in terms of the functionalities they provide to the end users. Such applications might be very prevalent among users but the execution results in dissipating many of the device end resources. Mobile cloud computing (MCC) has a solution to this problem by offloading certain parts of the application to cloud. At the first place, one might find computation offloading quite promising in terms of saving device end resources but eventually may result in being the other way around if performed in a static manner. Frequent changes in device end resources and computing environment variables may lead to a reduction in the efficiency of offloading techniques and even cause a drop in the quality of service for applications involving the use of real-time information. In order to overcome this problem, the authors propose an adaptive computation offloading framework for data stream applications wherein applications are partitioned dynamically followed by being offloaded depending upon the device end parameters, network conditions, and cloud resources. The article also talks about the proposed algorithm that depicts the workflow of the offloading model. The proposed model is simulated using the CloudSim simulator. In the end, the authors illustrate the working of the proposed system along with the simulated results.

Mobile Cloud Computing

2015 ◽  
pp. 1-23
Author(s):  
Jyoti Grover ◽  
Gaurav Kheterpal
Keyword(s):  
Cloud Computing ◽  
Mobile Devices ◽  
Data Storage ◽  
Mobile Applications ◽  
Large Scale ◽  
Mobile Cloud Computing ◽  
Research Area ◽  
Computation Offloading ◽  
Mobile Cloud ◽  
Mobile Environment

Mobile Cloud Computing (MCC) has become an important research area due to rapid growth of mobile applications and emergence of cloud computing. MCC refers to integration of cloud computing into a mobile environment. Cloud providers (e.g. Google, Amazon, and Salesforce) support mobile users by providing the required infrastructure (e.g. servers, networks, and storage), platforms, and software. Mobile devices are rapidly becoming a fundamental part of human lives and these enable users to access various mobile applications through remote servers using wireless networks. Traditional mobile device-based computing, data storage, and large-scale information processing is transferred to “cloud,” and therefore, requirement of mobile devices with high computing capability and resources are reduced. This chapter provides a survey of MCC including its definition, architecture, and applications. The authors discuss the issues in MCC, existing solutions, and approaches. They also touch upon the computation offloading mechanism for MCC.

scholarly journals Survey on security threats in mobile cloud computing

2018 ◽  
Vol 7 (1.9) ◽  
pp. 238
Author(s):  
S. Iniyan ◽  
M. Senthilraja ◽  
R. Srinivasan ◽  
A. Palaniraj
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Security And Privacy ◽  
Computation Offloading ◽  
Mobile Cloud ◽  
Mobile Environment ◽  
Seamless Connectivity ◽  
Fast Development ◽  
Lock In ◽  
Privacy Issues

Cell phones are turning into a basic piece of our day by day life because of most proficient and powerful specialized devices without time and space boundation. Everybody has a portable, tablet, tablet with calling office i.e. Fablet. Distributed computing (DC) has been broadly perceived as the cutting edge's registering foundation with the fast development of portable applications and the support of Cloud Computing for an assortment of administrations, the Mobile Cloud Computing (MCC) is presented as an incorporation of Cloud Computing into the Mobile Environment. Portable Cloud Computing is picking up stream. MCC is alluded to as the framework where both the information stockpiling and the information handling occur outside the cell phone. In MCC condition, Cloud Computing, Mobile Computing and Application confront a few difficulties like Mobile Computation Offloading, Seamless Connectivity, Vendor/Data Lock-in, Long WAN Latency, Live VM (Virtual Machine) relocation issues, Low Bandwidth, Energy-Efficient Transmissions and Trust-Security and Privacy Issues. In this paper, I have talked about around a few difficulties and issues identified with the Mobile Cloud Computing. This paper gives data about Mobile Cloud Computing Application, Security and Issues.

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