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GeoDeploy: Geo-Distributed Application Deployment Using Benchmarking
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AI
DOI：10.1109/TPDS.2024.3470532.png)
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摘要
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Geo-distributed web-applications (GWA) can be deployed across multiple geographically separated datacenters to reduce the latency of access for users. Finding a suitable deployment for a GWA is challenging due to the requirement to consider a number of different parameters, such as host configurations across a federated infrastructure. The ability to evaluate multiple deployment configurations enables an efficient outcome to be determined, balancing resource usage while satisfying user requirements. We propose GeoDeploy, a framework designed for finding a deployment solution for GWA. We evaluate GeoDeploy using both a formal algorithmic model and a practical cloud-based deployment. We also compare our approach with other existing techniques.
Keyword:
Benchmark testing
Time factors
Optimization
Quality of service
Cloud computing
Web servers
Geology
Costs
Computational modeling
Bandwidth
Geo-distributed web-application (GWA)
benchmark
orchestrator
multi-objective optimization
cloud computing
期刊
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6
论文数:
5.2K
被引数:
1.1W
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