Ве молиме користете го овој идентификатор да го цитирате или поврзете овој запис: http://hdl.handle.net/20.500.12188/30476
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dc.contributor.authorDjeparoska, Klimentinaen_US
dc.contributor.authorGusev, Marjanen_US
dc.date.accessioned2024-06-07T09:04:30Z-
dc.date.available2024-06-07T09:04:30Z-
dc.date.issued2023-11-21-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/30476-
dc.description.abstractCloud providers offer serverless functions such that users can focus on the business logic and worry only about the code and application, leaving scaling, security, software updates, and everything else to the cloud provider. However, the minimal user interactions with the configuration of the functions may result in errors executing the code or may not scale properly. In this research, we analyze different implementations of a complex cloud function that requires execution in less than 10 seconds and analyze the responses from AWS and GCP serverless platforms. We observed that AWS can activate a maximum of 1000 instances, although they claim a higher number, while GCP can reach a maximum of 3000 active cloud instances. However, GCP faces another problem of activating only a smaller number of cloud instances for executing small-sized functions. This limitation might surprise the user since it generates a lot of errors with a “request timeout” response. We elaborate on lessons learned by comparing AWS and GCP functions with details on the bad performance of GCP Cloud Functions in our experiments.en_US
dc.publisherIEEEen_US
dc.subjectServerless computing , Function as a Service , scalabilityen_US
dc.titleLimitations of AWS and GCP Serverless Functionsen_US
dc.typeProceedingsen_US
dc.relation.conference2023 31st Telecommunications Forum (TELFOR)en_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers
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