Edge Intelligence—Research Opportunities for Distributed Computing Continuum Systems

On distributed computing continuum systems

(2022) Schahram Dustdar et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

DECENT: A Decentralized Configurator for Controlling Elasticity in Dynamic Edge Networks

(2022) Ilir Murturi et al.   ACM Transactions on Internet Technology

A survey on nature-inspired techniques for computation offloading and service placement in emerging edge technologies

(2022) Dinesh Kumar et al.   WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS

Dynamic Task Allocation and Service Migration in Edge-Cloud IoT System Based on Deep Reinforcement Learning

(2022) Yan Chen et al.   IEEE Internet of Things Journal

Active Inference: Demystified and Compared

(2021) Noor Sajid et al.   NEURAL COMPUTATION

What serverless computing is and should become

(2021) Johann Schleier-Smith et al.   COMMUNICATIONS OF THE ACM

Deep learning and the Global Workspace Theory

(2021) Rufin VanRullen et al.   TRENDS IN NEUROSCIENCES

Deep Learning-Based Autoscaling Using Bidirectional Long Short-Term Memory for Kubernetes

(2021) Nhat-Minh Dang-Quang et al.   Applied Sciences-Basel

Deep learning for AI

(2021) Yoshua Bengio et al.   COMMUNICATIONS OF THE ACM

Markov blankets in the brain

(2021) Inês Hipólito et al.   NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

The Markov blanket trick: On the scope of the free energy principle and active inference

(2021) Vicente Raja et al.   Physics of Life Reviews

MiCADO-Edge: Towards an Application-level Orchestrator for the Cloud-to-Edge Computing Continuum

(2021) Amjad Ullah et al.   Journal of Grid Computing

How particular is the physics of the free energy principle?

(2021) Miguel Aguilera et al.   Physics of Life Reviews

A DRL Agent for Jointly Optimizing Computation Offloading and Resource Allocation in MEC

(2021) Juan Chen et al.   IEEE Internet of Things Journal

A Decentralized Approach for Resource Discovery using Metadata Replication in Edge Networks

(2021) Ilir Murturi et al.   IEEE Transactions on Services Computing

The views, measurements and challenges of elasticity in the cloud: A review

(2020) Ahmed Barnawi et al.   COMPUTER COMMUNICATIONS

Federated Learning: Challenges, Methods, and Future Directions

(2020) Tian Li et al.   IEEE SIGNAL PROCESSING MAGAZINE

Path Planning for UAV-Mounted Mobile Edge Computing With Deep Reinforcement Learning

(2020) Qian Liu et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

SLOC: Service Level Objectives for Next Generation Cloud Computing

(2020) Stefan Nastic et al.   IEEE INTERNET COMPUTING

Resource Allocation Based on Deep Reinforcement Learning in IoT Edge Computing

(2020) Xiong Xiong et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

Generative adversarial networks

(2020) Ian Goodfellow et al.   COMMUNICATIONS OF THE ACM

The Effects of Explainability and Causability on Perception, Trust, and Acceptance: Implications for Explainable AI

(2020) Full Professor Donghee Shin   INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES

Exploring Placement of Heterogeneous Edge Servers for Response Time Minimization in Mobile Edge-Cloud Computing

(2020) Kun Cao et al.   IEEE Transactions on Industrial Informatics

Blockchain-Based Edge Computing Resource Allocation in IoT: A Deep Reinforcement Learning Approach

(2020) Ying He et al.   IEEE Internet of Things Journal

Multi-Agent Deep Reinforcement Learning-Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing

(2020) Liang Wang et al.   IEEE Transactions on Cognitive Communications and Networking

Distributed Task Migration Optimization in MEC by Extending Multi-Agent Deep Reinforcement Learning Approach

(2020) Chubo Liu et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

Machine Learning Methods for Reliable Resource Provisioning in Edge-Cloud Computing

(2019) Thang Le Duc et al.   ACM COMPUTING SURVEYS

A comparison of fog and cloud computing cyber-physical interfaces for Industry 4.0 real-time embedded machine learning engineering applications

(2019) Peter O’Donovan et al.   COMPUTERS IN INDUSTRY

On Markov blankets and hierarchical self-organisation

(2019) Ensor Rafael Palacios et al.   JOURNAL OF THEORETICAL BIOLOGY

Deep Reinforcement Learning for Cooperative Content Caching in Vehicular Edge Computing and Networks

(2019) Guanhua Qiao et al.   IEEE Internet of Things Journal

XAI—Explainable artificial intelligence

(2019) David Gunning et al.   Science Robotics

Experience based knowledge representation for Internet of Things and Cyber Physical Systems with case studies

(2018) Cesar Sanin et al.   Future Generation Computer Systems-The International Journal of eScience

The Markov blankets of life: autonomy, active inference and the free energy principle

(2018) Michael Kirchhoff et al.   Journal of the Royal Society Interface

Elasticity in Cloud Computing: State of the Art and Research Challenges

(2018) Yahya Al-Dhuraibi et al.   IEEE Transactions on Services Computing

Explanation in artificial intelligence: Insights from the social sciences

(2018) Tim Miller   ARTIFICIAL INTELLIGENCE

Deep Reinforcement Learning: A Brief Survey

(2017) Kai Arulkumaran et al.   IEEE SIGNAL PROCESSING MAGAZINE

On Elasticity Measurement in Cloud Computing

(2016) Wei Ai et al.   Scientific Programming

A survey on engineering approaches for self-adaptive systems

(2015) Christian Krupitzer et al.   Pervasive and Mobile Computing

Elasticity in cloud computing: a survey

(2014) Emanuel Ferreira Coutinho et al.   Annals of Telecommunications

Knowledge Representation in the Internet of Things: Semantic Modelling and its Applications

(2014) Wei Wang et al.   Automatika

Action understanding and active inference

(2011) Karl Friston et al.   BIOLOGICAL CYBERNETICS

Principles of Elastic Processes

(2011) Schahram Dustdar et al.   IEEE INTERNET COMPUTING