Dynamic Service Migration via Approximate Markov Decision Process in Mobile Edge-Clouds

2018 ◽  
pp. 13-24
Author(s):  
Zhuoling Chen ◽  
Hong Yao ◽  
Lin Gu ◽  
Deze Zeng ◽  
Kun Zheng
Keyword(s):  
Markov Decision Process ◽  
Decision Process ◽  
Markov Decision ◽  
Service Migration

scholarly journals Service Migration Algorithm Based On Markov Decision Process With Multiple QoS Attributes

2021 ◽  
Author(s):  
Anhua Ma ◽  
Su Pan ◽  
Shuai Tao ◽  
Weiwei Zhou
Keyword(s):  
Time Delay ◽  
Real Time ◽  
Markov Decision Process ◽  
Decision Process ◽  
Mobile Internet ◽  
Migration Decision ◽  
Decision Algorithm ◽  
Transmission Rates ◽  
Markov Decision ◽  
Service Migration

Abstract With the rapid development of mobile internet cloud computing, the traditional network structure becomes non-suitable for advanced network traffic requirements. A service migration decision algorithm is proposed in the Software Defined Network(SDN) to satisfy differential Quality of Service(QoS) requirements. We divide services into real-time ones and non-real-time ones due to their different requirements on time delay and transmission rates, and construct the revenue function on two QoS attributes i.e. time delay and available transmission rates. We use the Markov decision process to maximize the overall benefits of users and network system to achieve the best user experience. The simulation results show that our proposed algorithm achieves better performance in terms of overall benefits than the exiting algorithms only considering single service and single QoS attribute.

scholarly journals Dynamic Service Migration in Mobile Edge Computing Based on Markov Decision Process

2019 ◽  
Vol 27 (3) ◽  
pp. 1272-1288 ◽  
Author(s):  
Shiqiang Wang ◽  
Rahul Urgaonkar ◽  
Murtaza Zafer ◽  
Ting He ◽  
Kevin Chan ◽  
...  
Keyword(s):  
Markov Decision Process ◽  
Decision Process ◽  
Edge Computing ◽  
Mobile Edge Computing ◽  
Markov Decision ◽  
Service Migration

scholarly journals Development of a Shipment Policy for Collection Centers

Mathematics ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1385
Author(s):  
Irais Mora-Ochomogo ◽  
Marco Serrato ◽  
Jaime Mora-Vargas ◽  
Raha Akhavan-Tabatabaei
Keyword(s):  
Climate Change ◽  
Natural Disasters ◽  
Markov Decision Process ◽  
Decision Process ◽  
Necessary Conditions ◽  
Decision Makers ◽  
Humanitarian Organizations ◽  
The World ◽  
Markov Decision ◽  
Unsatisfied Demand

Natural disasters represent a latent threat for every country in the world. Due to climate change and other factors, statistics show that they continue to be on the rise. This situation presents a challenge for the communities and the humanitarian organizations to be better prepared and react faster to natural disasters. In some countries, in-kind donations represent a high percentage of the supply for the operations, which presents additional challenges. This research proposes a Markov Decision Process (MDP) model to resemble operations in collection centers, where in-kind donations are received, sorted, packed, and sent to the affected areas. The decision addressed is when to send a shipment considering the uncertainty of the donations’ supply and the demand, as well as the logistics costs and the penalty of unsatisfied demand. As a result of the MDP a Monotone Optimal Non-Decreasing Policy (MONDP) is proposed, which provides valuable insights for decision-makers within this field. Moreover, the necessary conditions to prove the existence of such MONDP are presented.

An Optimal Life Cycle Reprofiling Strategy of Train Wheels Based on Markov Decision Process of Wheel Degradation

2021 ◽  
pp. 1-11
Author(s):  
Yuanchen Zeng ◽  
Dongli Song ◽  
Weihua Zhang ◽  
Bin Zhou ◽  
Mingyuan Xie ◽  
...  
Keyword(s):  
Life Cycle ◽  
Markov Decision Process ◽  
Decision Process ◽  
Markov Decision
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