GeoNimbus：一个用于构建地球观测与环境服务的无服务器框架
GeoNimbus: A serverless framework to build earth observation and environmental services
AI总结：
本文提出无服务器框架GeoNimbus，用于在多种基础设施上组合和部署时空地球观测系统，自动管理任务函数的部署、调用、扩展与监控，并通过墨西哥湖泊水资源变化案例验证了其可行性与效率。
摘要：
云计算已成为组织实施地球观测系统（EOS）的流行解决方案。然而，这产生了对提供商资源的依赖。此外，在这些环境中管理和执行任务与数据是构建EOS时常见的挑战。本文提出了GeoNimbus，这是一个用于在多种基础设施（例如本地资源以及公有或私有云）上组合和部署时空EOS的无服务器框架。该框架将EOS任务组织为函数，并自动管理其在云中的部署、调用、扩展和监控。GeoNimbus框架使组织能够重用和共享可用函数以组合多个EOS。我们使用该框架将EOS作为服务实现，以开展一项专注于测量墨西哥南部某湖泊水资源变化的案例研究。实验评估表明，使用GeoNimbus构建不同的地球观测研究具有可行性和效率。
英文摘要：
Cloud computing has become a popular solution for organizations implementing Earth Observation Systems (EOS). However, this produces a dependency on provider resources. Moreover, managing and executing tasks and data in these environments are challenges that commonly arise when building an EOS. This paper presents GeoNimbus, a serverless framework for composing and deploying spatio-temporal EOS on multiple infrastructures, e.g., on-premise resources and public or private clouds. This framework organizes EOS tasks as functions and automatically manages their deployment, invocation, scalability, and monitoring in the cloud. GeoNimbus framework enables organizations to reuse and share available functions to compose multiple EOS. We use this framework to implement EOS as a service for conducting a case study focused on measuring water resource changes in a lake in the south of Mexico. The experimental evaluation revealed the feasibility and efficiency of using GeoNimbus to build different earth observation studies.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
