Kunyin Guo
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View article: A Style Transfer-Based Fast Image Quality Assessment Method for Image Sensors
A Style Transfer-Based Fast Image Quality Assessment Method for Image Sensors Open
Accurate image quality evaluation is essential for optimizing sensor performance and enhancing the fidelity of visual data. The concept of “image style” encompasses the overall visual characteristics of an image, including elements such as…
View article: Multi-user joint task offloading and resource allocation based on mobile edge computing in mining scenarios
Multi-user joint task offloading and resource allocation based on mobile edge computing in mining scenarios Open
View article: A Fault-Tolerant Mobility-Aware Caching Method in Edge Computing
A Fault-Tolerant Mobility-Aware Caching Method in Edge Computing Open
Mobile Edge Computing (MEC) is a technology designed for the on-demand provisioning of computing and storage services, strategically positioned close to users. In the MEC environment, frequently accessed content can be deployed and cached …
View article: Effects of Different Full-Reference Quality Assessment Metrics in End-to-End Deep Video Coding
Effects of Different Full-Reference Quality Assessment Metrics in End-to-End Deep Video Coding Open
Visual quality assessment is often used as a key performance indicator (KPI) to evaluate the performance of electronic devices. There exists a significant association between visual quality assessment and electronic devices. In this paper,…
View article: A Novel Coevolutionary Approach to Reliability Guaranteed Multi-Workflow Scheduling upon Edge Computing Infrastructures
A Novel Coevolutionary Approach to Reliability Guaranteed Multi-Workflow Scheduling upon Edge Computing Infrastructures Open
Recently, mobile edge computing (MEC) is widely believed to be a promising and powerful paradigm for bringing enterprise applications closer to data sources such as IoT devices or local edge servers. It is capable of energizing novel mobil…
View article: Multi-Objective Workflow Scheduling With Deep-Q-Network-Based Multi-Agent Reinforcement Learning
Multi-Objective Workflow Scheduling With Deep-Q-Network-Based Multi-Agent Reinforcement Learning Open
Cloud Computing provides an effective platform for executing large-scale and complex workflow applications with a pay-as-you-go model. Nevertheless, various challenges, especially its optimal scheduling for multiple conflicting objectives,…
View article: On dynamic performance estimation of fault-prone Infrastructure-as-a-Service clouds
On dynamic performance estimation of fault-prone Infrastructure-as-a-Service clouds Open
The cloud computing paradigm enables elastic resources to be scaled at run time satisfy customers’ demand. Cloud computing provisions on-demand service to users based on a pay-as-you-go manner. This novel paradigm enables cloud users or te…
View article: Stochastic performance analysis of unreliable IaaS clouds
Stochastic performance analysis of unreliable IaaS clouds Open
Performance evaluation of cloud data-centers has drawn considerable attention from academy and industry.In this study, we present an analytical approach to the performance analysis of Infrastructure-as-a-Service cloud datacenters with unre…