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pro vyhledávání: '"Japke, Nils"'
In a continuous deployment setting, Function-as-a-Service (FaaS) applications frequently receive updated releases, each of which can cause a performance regression. While continuous benchmarking, i.e., comparing benchmark results of the updated and t
Externí odkaz:
http://arxiv.org/abs/2405.15610
An application's performance regressions can be detected by both application or microbenchmarks. While application benchmarks stress the system under test by sending synthetic but realistic requests which, e.g., simulate real user traffic, microbench
Externí odkaz:
http://arxiv.org/abs/2311.04108
The source code of Function as a Service (FaaS) applications is constantly being refined. To detect if a source code change introduces a significant performance regression, the traditional benchmarking approach evaluates both the old and new function
Externí odkaz:
http://arxiv.org/abs/2311.03889
Function-as-a-Service is a popular cloud programming model that supports developers by abstracting away most operational concerns with automatic deployment and scaling of applications. Due to the high level of abstraction, developers rely on the clou
Externí odkaz:
http://arxiv.org/abs/2304.07177
The heterogeneous, geographically distributed infrastructure of fog computing poses challenges in data replication, data distribution, and data mobility for fog applications. Fog computing is still missing the necessary abstractions to manage applica
Externí odkaz:
http://arxiv.org/abs/2303.05256
The growing research and industry interest in the Internet of Things and the edge computing paradigm has increased the need for cost-efficient virtual testbeds for large-scale distributed applications. Researchers, students, and practitioners need to
Externí odkaz:
http://arxiv.org/abs/2208.05862