Service migration in multi-access edge computing: A joint state adaptation and reinforcement learning mechanism

[1]  Michael I. Jordan,et al.  MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES , 1996 .

[2]  Dan Zhao,et al.  A service migration strategy based on multiple attribute decision in mobile edge computing , 2017, 2017 IEEE 17th International Conference on Communication Technology (ICCT).

[3]  Luiz Fernando Bittencourt,et al.  Towards Virtual Machine Migration in Fog Computing , 2015, 2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC).

[4]  Ehab Al-Shaer,et al.  Formal Approach for Resilient Reachability based on End-System Route Agility , 2016, MTD@CCS.

[5]  Yanning Zhang,et al.  Smart and Resilient EV Charging in SDN-Enhanced Vehicular Edge Computing Networks , 2020, IEEE Journal on Selected Areas in Communications.

[6]  Fotis Foukalas,et al.  Wireless Communication Technologies for Safe Cooperative Cyber Physical Systems , 2018, Sensors.

[7]  Huibin Jia,et al.  Network Recovery for Large-scale Failures in Smart Grid by Reinforcement Learning , 2018, 2018 IEEE 4th International Conference on Computer and Communications (ICCC).

[8]  Yang Wang,et al.  Demonstration of Network Slicing in Mobile Edge Computing Service Migration , 2018, 2018 Asia Communications and Photonics Conference (ACP).

[9]  Poompat Saengudomlert,et al.  Maximizing double-link failure recovery of over-dimensioned optical mesh networks , 2020, Opt. Switch. Netw..

[10]  Richard L. Lewis,et al.  Intrinsically Motivated Reinforcement Learning: An Evolutionary Perspective , 2010, IEEE Transactions on Autonomous Mental Development.

[11]  Anand Singh Bisen,et al.  Efficient route selection by using link failure factor in MANET , 2016, 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT).

[12]  Wei Li,et al.  A Dynamic Service Migration Mechanism in Edge Cognitive Computing , 2018, ACM Trans. Internet Techn..

[13]  Weishan Zhang,et al.  LSTM-Based Service Migration for Pervasive Cloud Computing , 2018, 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData).

[14]  John Krumm,et al.  Far Out: Predicting Long-Term Human Mobility , 2012, AAAI.

[15]  Vincenzo Grassi,et al.  Architectural Issues for Self-Adaptive Service Migration Management in Mobile Edge Computing Scenarios , 2019, 2019 IEEE International Conference on Edge Computing (EDGE).

[16]  Naoto Yoshida,et al.  Reinforcement learning with state-dependent discount factor , 2013, 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics (ICDL).

[17]  Ying Jun Zhang,et al.  DRAG: Deep Reinforcement Learning Based Base Station Activation in Heterogeneous Networks , 2018, IEEE Transactions on Mobile Computing.

[18]  Amar Kumar Mohapatra,et al.  Energy Efficient Model for Recovery from Multiple Nodes Failure in Wireless Sensor Networks , 2019, Wirel. Pers. Commun..

[19]  Jun Li,et al.  Service Migration in Fog Computing Enabled Cellular Networks to Support Real-Time Vehicular Communications , 2019, IEEE Access.

[20]  Tianshu Chu,et al.  Multi-Agent Deep Reinforcement Learning for Large-Scale Traffic Signal Control , 2019, IEEE Transactions on Intelligent Transportation Systems.

[21]  Enrique Saurez,et al.  Incremental deployment and migration of geo-distributed situation awareness applications in the fog , 2016, DEBS.

[22]  Ning Zhang,et al.  A Survey on Service Migration in Mobile Edge Computing , 2018, IEEE Access.

[23]  Kin K. Leung,et al.  Dynamic service migration and workload scheduling in edge-clouds , 2015, Perform. Evaluation.

[24]  Kin K. Leung,et al.  Mobility-Induced Service Migration in Mobile Micro-clouds , 2014, 2014 IEEE Military Communications Conference.

[25]  Qian Wang,et al.  Deep Reinforcement Learning Based Service Migration Strategy for Edge Computing , 2019, 2019 IEEE International Conference on Service-Oriented System Engineering (SOSE).

[26]  Wei Zhao,et al.  Migration Modeling and Learning Algorithms for Containers in Fog Computing , 2019, IEEE Transactions on Services Computing.

[27]  Kin K. Leung,et al.  Migrating running applications across mobile edge clouds: poster , 2016, MobiCom.

[28]  Tarik Taleb,et al.  Follow-Me Cloud: When Cloud Services Follow Mobile Users , 2019, IEEE Transactions on Cloud Computing.

[29]  Max Mühlhäuser,et al.  A Learning-based Framework for Optimizing Service Migration in Mobile Edge Clouds , 2019, EdgeSys@EuroSys.

[30]  Piotr Nawrocki,et al.  Adaptive Service Management in Mobile Cloud Computing by Means of Supervised and Reinforcement Learning , 2017, Journal of Network and Systems Management.

[31]  Jun Terada,et al.  Real-Time Motion Control Method Using Measured Delay Information on Access Edge Computing , 2020, 2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC).

[32]  Tao Lin,et al.  A Joint Service Migration and Mobility Optimization Approach for Vehicular Edge Computing , 2020, IEEE Transactions on Vehicular Technology.

[33]  Ehab Al-Shaer,et al.  Efficient Random Route Mutation considering flow and network constraints , 2013, 2013 IEEE Conference on Communications and Network Security (CNS).

[34]  El-Ghazali Talbi,et al.  Bayesian optimization of variable-size design space problems , 2020, Optimization and Engineering.

[35]  Sangheon Pack,et al.  QoS-Aware Service Migration in Edge Cloud Networks , 2018, 2018 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia).

[36]  Nils J. Nilsson,et al.  A Formal Basis for the Heuristic Determination of Minimum Cost Paths , 1968, IEEE Trans. Syst. Sci. Cybern..

[37]  Choong Seon Hong,et al.  Collaborative Task Offloading for Overloaded Mobile Edge Computing in Small-Cell Networks , 2020, 2020 International Conference on Information Networking (ICOIN).

[38]  Mario Gerla,et al.  Service Migration from Cloud to Multi-tier Fog Nodes for Multimedia Dissemination with QoE Support , 2018, Sensors.

[39]  Roberto Riggio,et al.  Leveraging Mobile Edge Computing to Improve Vehicular Communications , 2020, 2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC).

[40]  Min Chen,et al.  A Markov Decision Process-based service migration procedure for follow me cloud , 2014, 2014 IEEE International Conference on Communications (ICC).