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,
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author = "Zheng Han2 and Chen Wang and Zhengxin Fang and
Hui Ma and Gang Chen2",
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title = "Multi-Objective Optimization of Application Deployment
Strategies in Integrated Cloud-Fog Computing
Environments",
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booktitle = "2024 IEEE International Conference on Software
Services Engineering (SSE)",
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year = "2024",
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pages = "160--166",
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month = jul,
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keywords = "genetic algorithms, genetic programming, Measurement,
Cloud computing, Scalability, Quality of service,
Software, Fog Computing, Multi-Objective Optimisation,
Genetic Programming Hyper-Heuristics",
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DOI = "
doi:10.1109/SSE62657.2024.00033",
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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.",
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notes = "Also known as \cite{10664389}",
- }
Genetic Programming entries for
Zheng Han2
Chen Wang
Zhengxin Fang
Hui Ma
Aaron Chen
Citations