Hybrid Delay Optimization and Workload Assignment in Mobile Edge Cloud Networks - Open Access Library Journal

OALibJ > Vol.5 No.9, September 2018

Hybrid Delay Optimization and Workload Assignment in Mobile Edge Cloud Networks ()

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DOI: 10.4236/oalib.1104854 478 Downloads 1,893 Views Citations

Author(s)

Abdul Rasheed Mahesar, Abdullah Lakhan, Dileep Kumar Sajnani, Irfan Ali Jamali

Affiliation(s)

Southeast University, Nanjing, China.

ABSTRACT

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 (i.e., 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 results show that proposed HDWA has better performance as compared to baseline approaches.

KEYWORDS

Offloading, Machine Learning, Process Delay, Transmission Delay, Delay Constraint, Augmented Reality, Video Analytics

Share and Cite:

Mahesar, A. , Lakhan, A. , Sajnani, D. and Jamali, I. (2018) Hybrid Delay Optimization and Workload Assignment in Mobile Edge Cloud Networks. Open Access Library Journal, 5, 1-12. doi: 10.4236/oalib.1104854.

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