%0 Journal Article
%T Hybrid Delay Optimization and Workload Assignment in Mobile Edge Cloud Networks
%A Abdul Rasheed Mahesar
%A Abdullah Lakhan
%A Dileep Kumar Sajnani
%A Irfan Ali Jamali
%J Open Access Library Journal
%V 5
%N 9
%P 1-12
%@ 2333-9721
%D 2018
%I Open Access Library
%R 10.4236/oalib.1104854
%X <div style="text-align:justify;">
	<span style="line-height:1.5;">Nowadays, the usage of
mobile devices is progressively increased. Until, delay sensitive applications
(Augmented Reality, Online Banking and 3D Game) are required lower delay while
executed in the
mobile device. Mobile Cloud Computing provides a rich resource environment to
the constrained-resource mobility to run above mentioned applications, but due
to long distance between mobile user application and cloud server introduces
hybrid delay (</span><i style="line-height:1.5;">i.e.</i><span style="line-height:1.5;">, network delay and
process delay). To cope with the hybrid delay in mobile cloud computing for
delay sensitive applications, we have proposed novel hybrid delay task
assignment (HDWA) algorithm. The preliminary objective of the HDWA is to run
the application on the cloud server in an efficient way that minimizes the
response time of the application. Simulation re</span><span style="line-height:1.5;">sults show that proposed HDWA
has better performance as compared to baseline approaches.</span>
</div>
%K Offloading
%K Machine Learning
%K Process Delay
%K Transmission Delay
%K Delay Constraint
%K Augmented Reality
%K Video Analytics
%U http://www.oalib.com/paper/5299311