Application Offloading Using Data Aggregation in Mobile Cloud Computing Environment

Raj Kumari (), Sakshi Kaushal () and Roopali ()
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Raj Kumari: University Institute of Engineering and Technology, Panjab University
Sakshi Kaushal: University Institute of Engineering and Technology, Panjab University
Roopali: University Institute of Engineering and Technology, Panjab University

Chapter Chapter 2 in Leadership, Innovation and Entrepreneurship as Driving Forces of the Global Economy, 2017, pp 17-29 from Springer

Abstract: Abstract The Mobile cloud computing (MCC) enables the mobile devices to give high performance using cloud computing techniques. The approach behind MCC is to connect the mobile devices using Internet services to cloud server so that highly complex computations, which consume resources and battery life of Smart Mobile Devices (SMD), can be offloaded on cloud. The mechanism of shifting the computation part of the application on the server is termed offloading. The main steps for the execution of an application in MCC are to check the application for partitioning, offload the application onto cloud, and receive the result back on the SMD. In this paper, we have developed a Health Care Application (HCA) model, which configures a smart mobile application on mobile device to categorize the data into three categories, i.e., normal, critical, and super critical. The main function of HCA model is to aggregate the normal data according to the data size of the application so that the overall transmission time and network traffic can be reduced. The critical and super critical data is offloaded to the cloud without delay so that the data can be processed urgently. The experimental results show the offloading with data aggregation increases the performance of the application. The simulation study is done for two networks, i.e., Wifi and 2G.

Keywords: Cloud computing; Mobile cloud computing; Offloading; Data aggregation (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-319-43434-6_2

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DOI: 10.1007/978-3-319-43434-6_2

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