An evolutionary fuzzy scheduler for multi-objective resource allocation in fog computing

Deep-Reinforcement-Learning-Based Offloading Scheduling for Vehicular Edge Computing

(2020) Wenhan Zhan et al.   IEEE Internet of Things Journal

All one needs to know about fog computing and related edge computing paradigms: A complete survey

(2019) Ashkan Yousefpour et al.   JOURNAL OF SYSTEMS ARCHITECTURE

Dynamic Request Scheduling Optimization in Mobile Edge Computing for IoT Applications

(2019) Shihong Hu et al.   IEEE Internet of Things Journal

Online Deadline-Aware Task Dispatching and Scheduling in Edge Computing

(2019) Jiaying Meng et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

Security and trust issues in Fog computing: A survey

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

Offloading in fog computing for IoT: Review, enabling technologies, and research opportunities

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

Quality of Experience (QoE)-aware placement of applications in Fog computing environments

(2018) Redowan Mahmud et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

A dynamic tradeoff data processing framework for delay-sensitive applications in Cloud of Things systems

(2018) Yucen Nan et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

A Collaborative Resource Allocation Strategy for Decomposition-Based Multiobjective Evolutionary Algorithms

(2018) Qi Kang et al.   IEEE Transactions on Systems Man Cybernetics-Systems

An improved multi-objective evolutionary algorithm based on decomposition for energy-efficient permutation flow shop scheduling problem with sequence-dependent setup time

(2018) En-da Jiang et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Modeling industry 4.0 based fog computing environments for application analysis and deployment

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

Minimizing cost and makespan for workflow scheduling in cloud using fuzzy dominance sort based HEFT

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

System modelling and performance evaluation of a three-tier Cloud of Things

(2017) Wei Li et al.   Future Generation Computer Systems-The International Journal of eScience

TTSA: An Effective Scheduling Approach for Delay Bounded Tasks in Hybrid Clouds

(2017) Haitao Yuan et al.   IEEE Transactions on Cybernetics

Towards understanding uncertainty in cloud computing with risks of confidentiality, integrity, and availability

(2016) Andrei Tchernykh et al.   Journal of Computational Science

Multi-objective workflow scheduling in Amazon EC2

(2013) Juan J. Durillo et al.   Cluster Computing-The Journal of Networks Software Tools and Applications

Multi-objective workflow grid scheduling using $$\varepsilon $$ ε -fuzzy dominance sort based discrete particle swarm optimization

(2013) Ritu Garg et al.   JOURNAL OF SUPERCOMPUTING

A theoretic and practical framework for scheduling in a stochastic environment

(2008) Julien Bidot et al.   JOURNAL OF SCHEDULING