Mobile Cloud Computing Architecture for Computation Offloading

被引:0
作者
Khanna, Abhirup [1 ]
Kero, Archana [2 ]
Kumar, Devendra [3 ]
机构
[1] Univ Petr & Energy Studies, Dehra Dun, Uttar Pradesh, India
[2] Shri Guru Ram Rai Inst Technol & Sci, Dehra Dun, Uttar Pradesh, India
[3] Coll Engn Roorkee, Roorkee, Uttar Pradesh, India
来源
PROCEEDINGS ON 2016 2ND INTERNATIONAL CONFERENCE ON NEXT GENERATION COMPUTING TECHNOLOGIES (NGCT) | 2016年
关键词
Mobile Cloud Computing; Mobile Computation Offloading; Cloud computing; CloudSim;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In recent years the Smartphone has undergone significant technological advancements but still remains a low computational entity. Mobile Cloud Computing addresses this problem and provides a solution in form of Mobile Computation Offloading (MCO). Computation offloading is a concept in which certain parts (tasks) of an application are executed on cloud whereas the rest of them on the mobile device itself. MCO turns out to be a great help with respect to resource constrained mobile derives as it allows resource intensive tasks to be executed remotely. Though such procedures save mobile resources but incur communication cost between the mobile device and cloud. Thus, it becomes extremely essential for offloading models to take steps (offloading decisions) in order to augment the capabilities of mobile devices along with reduced execution and communication costs. In this paper, we present an application offloading model which offloads an application based upon the nature and execution pattern of its tasks. We also propose an algorithm that depicts the work flow of our computation model. The proposed model is simulated using the CloudSim simulator. To this end, we illustrate the working of our proposed system along with the simulated results.
引用
收藏
页码:639 / 643
页数:5
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