Personality-Aware Pricing and Heterogeneity-Aware Scheduling of Cloud Service Requests for Profit Maximization
- 1 November 2026
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Internet of Things Journal
- Vol. 13 (22) , 52204-52217
Abstract
No abstract availableFunding Information
- National Natural Science Foundation of China (62302221)
- Open Project Program of Guangxi Key Laboratory of Digital Infrastructure (GXDIOP2024006)
This publication has 28 references indexed in Scilit:
- DGWOSC: A depth-based grey wolf optimizer for reliability aware soft real-time service scheduling and multiserver configurationFuture Generation Computer Systems, 2025
- Latency and Reliability-Aware Dynamic Task Offloading and Scheduling for Energy-Harvesting Systems in Mobile Edge ComputingIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2025
- ILRM: Imitation Learning-Based Resource Management for Integrated CPU–GPU Edge Systems With Renewable Energy SourcesIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024
- Multiserver configuration for cloud service profit maximization in the presence of soft errors based on grouped grey wolf optimizerJournal of Systems Architecture, 2022
- Task scheduling in Cloud Computing Based on Improved Discrete Particle Swarm Optimization2019
- SLA-Based Profit Optimization Resource Scheduling for Big Data Analytics-as-a-Service Platforms in Cloud Computing EnvironmentsIEEE Transactions on Cloud Computing, 2018
- A New Service Mechanism for Profit Optimizations of a Cloud Provider and Its UsersIEEE Transactions on Cloud Computing, 2017
- Psychometric Properties of the French Ten-Item Personality Inventory (TIPI)Journal of Individual Differences, 2016
- Thermal-Aware Task Scheduling for Energy Minimization in Heterogeneous Real-Time MPSoC SystemsIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2015
- A Profit Maximization Scheme with Guaranteed Quality of Service in Cloud ComputingIEEE Transactions on Computers, 2015