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Kubernetes scheduling: Taxonomy, ongoing issues and challenges
C Carrión - ACM Computing Surveys, 2022 - dl.acm.org
Continuous integration enables the development of microservices-based applications using
container virtualization technology. Container orchestration systems such as Kubernetes …
container virtualization technology. Container orchestration systems such as Kubernetes …
Serverless computing: state-of-the-art, challenges and opportunities
Serverless computing is growing in popularity by virtue of its lightweight and simplicity of
management. It achieves these merits by reducing the granularity of the computing unit to …
management. It achieves these merits by reducing the granularity of the computing unit to …
{INFaaS}: Automated model-less inference serving
Despite existing work in machine learning inference serving, ease-of-use and cost efficiency
remain challenges at large scales. Developers must manually search through thousands of …
remain challenges at large scales. Developers must manually search through thousands of …
{SkyPilot}: An intercloud broker for sky computing
To comply with the increasing number of government regulations about data placement and
processing, and to protect themselves against major cloud outages, many users want the …
processing, and to protect themselves against major cloud outages, many users want the …
Borg: the next generation
This paper analyzes a newly-published trace that covers 8 different Borg [35] clusters for the
month of May 2019. The trace enables researchers to explore how scheduling works in …
month of May 2019. The trace enables researchers to explore how scheduling works in …
The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update
Abstract Galaxy (homepage: https://galaxyproject. org, main public server: https://usegalaxy.
org) is a web-based scientific analysis platform used by tens of thousands of scientists …
org) is a web-based scientific analysis platform used by tens of thousands of scientists …
An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems
Cloud services have recently started undergoing a major shift from monolithic applications,
to graphs of hundreds or thousands of loosely-coupled microservices. Microservices …
to graphs of hundreds or thousands of loosely-coupled microservices. Microservices …
Learning scheduling algorithms for data processing clusters
Efficiently scheduling data processing jobs on distributed compute clusters requires complex
algorithms. Current systems use simple, generalized heuristics and ignore workload …
algorithms. Current systems use simple, generalized heuristics and ignore workload …
{FIRM}: An intelligent fine-grained resource management framework for {SLO-Oriented} microservices
User-facing latency-sensitive web services include numerous distributed,
intercommunicating microservices that promise to simplify software development and …
intercommunicating microservices that promise to simplify software development and …
Ray: A distributed framework for emerging {AI} applications
The next generation of AI applications will continuously interact with the environment and
learn from these interactions. These applications impose new and demanding systems …
learn from these interactions. These applications impose new and demanding systems …