Multi-Objective Optimization of Application Deployment Strategies in Integrated Cloud-Fog Computing Environments

Created by W.Langdon from gp-bibliography.bib Revision:1.8344

@InProceedings{Han:2024:SSE,

• author = "Zheng Han2 and Chen Wang and Zhengxin Fang and Hui Ma and Gang Chen2",
• title = "Multi-Objective Optimization of Application Deployment Strategies in Integrated Cloud-Fog Computing Environments",
• booktitle = "2024 IEEE International Conference on Software Services Engineering (SSE)",
• year = "2024",
• pages = "160--166",
• month = jul,
• keywords = "genetic algorithms, genetic programming, Measurement, Cloud computing, Scalability, Quality of service, Software, Fog Computing, Multi-Objective Optimisation, Genetic Programming Hyper-Heuristics",
• DOI = "doi:10.1109/SSE62657.2024.00033",
• abstract = "In the domain of Cloud computing, Fog computing is integrated with the Cloud to offer a balanced approach that combines Cloud's scalability with Fog's low latency, enabling efficient software application deployment. However, many current studies overlook the unpredictability of future user requests, such as assuming all requests are known beforehand. User requests often arrive dynamically and may have different quality of service (QoS) preferences. Therefore we need effective methods to handle dynamic application deployment with multiple objectives. This paper tackles this gap by modelling a multi-objective application deployment problem that considers dynamically arriving users' requests on application deployment in a Cloud-Fog environment. We further introduce a multi-objective Genetic Programming Hyper-Heuristic based approach to automatically generate a set of deployment rules that can be chosen according to users' QoS preferences. These rules are generated with different trade-offs of two optimisation objectives, i.e., minimizing cost and latency, which can be used for deploying applications dynamically. Our experimental evaluation using real-world data demonstrates that our GPHH approach can generate effective heuristics for deploying applications in an integrated Cloud-Fog environment.",
• notes = "Also known as \cite{10664389}",

}

Genetic Programming entries for Zheng Han2 Chen Wang Zhengxin Fang Hui Ma Aaron Chen

Citations