Title
A PSO model with VM migration and transmission power control for low Service Delay in the multiple cloudlets ECC scenario
Abstract
Mobile devices are naturally limited due to their portable sizes and will therefore never be equal to their desktop counterparts. To overcome this, Edge Cloud Computing can be utilized to execute tasks on behalf of the devices, allowing them to run applications that would normally be too demanding. In this service model, it is important to maintain a low Service Delay to keep the service transparent to the user. This can be achieved by focusing on lowering the Transmission Delay and Processing Delay. While existing approaches in the literature focus on one of those two, we postulate that only when considering both delays you can efficiently lower Service Delay and provide quality to all applications. In order to do that while being feasible, we propose a method based on Particle Swarm Optimization for lowering Service Delay in Edge Cloud Computing. Our proposal is shown to be close to optimality while still maintaining a low execution time for multiple cloudlets scenarios. Moreover, our proposal outperforms existing approaches from the literature with single focus on computation or communication, even in situations with high processing and transmission burdens, proving the superiority of a dual focus approach.
Year
DOI
Venue
2017
10.1109/ICC.2017.7996358
2017 IEEE International Conference on Communications (ICC)
Keywords
Field
DocType
PSO model,VM migration,transmission power control,low service delay,multiple cloudlets ECC scenario,mobile devices,edge cloud computing,service model,transmission delay,processing delay,particle swarm optimization
Particle swarm optimization,Computer science,Transmission delay,Server,Power control,Quality of service,Computer network,Real-time computing,Mobile device,Cloud computing,Distributed computing,Processing delay
Conference
ISSN
ISBN
Citations 
1550-3607
978-1-4673-9000-2
1
PageRank 
References 
Authors
0.34
16
4
Name
Order
Citations
PageRank
Tiago Rodrigues1666.18
Katsuya Suto212211.03
Hiroki Nishiyama3128592.61
Nei Kato43982263.66