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Root cause analysis of failures in microservices through causal discovery
Most cloud applications use a large number of smaller sub-components (called
microservices) that interact with each other in the form of a complex graph to provide the …
microservices) that interact with each other in the form of a complex graph to provide the …
Adaptive resource efficient microservice deployment in cloud-edge continuum
User-facing services are now evolving towards the microservice architecture where a
service is built by connecting multiple microservice stages. Since the entire service is heavy …
service is built by connecting multiple microservice stages. Since the entire service is heavy …
The power of prediction: microservice auto scaling via workload learning
When deploying microservices in production clusters, it is critical to automatically scale
containers to improve cluster utilization and ensure service level agreements (SLA) …
containers to improve cluster utilization and ensure service level agreements (SLA) …
An in-depth study of microservice call graph and runtime performance
Loosely-coupled and light-weight microservices running in containers are replacing
monolithic applications gradually. Understanding the characteristics of microservices is …
monolithic applications gradually. Understanding the characteristics of microservices is …
Qos-aware and resource efficient microservice deployment in cloud-edge continuum
User-facing services are now evolving towards the microservice architecture where a
service is built by connecting multiple microservice stages. While an entire service is heavy …
service is built by connecting multiple microservice stages. While an entire service is heavy …
Erms: Efficient resource management for shared microservices with sla guarantees
A common approach to improving resource utilization in data centers is to adaptively
provision resources based on the actual workload. One fundamental challenge of doing this …
provision resources based on the actual workload. One fundamental challenge of doing this …
Understanding, predicting and scheduling serverless workloads under partial interference
Interference among distributed cloud applications can be classified into three types: full,
partial and zero. While prior research merely focused on full interference, the partial …
partial and zero. While prior research merely focused on full interference, the partial …
Take it to the limit: peak prediction-driven resource overcommitment in datacenters
To increase utilization, datacenter schedulers often overcommit resources where the sum of
resources allocated to the tasks on a machine exceeds its physical capacity. Setting the right …
resources allocated to the tasks on a machine exceeds its physical capacity. Setting the right …
Containerized microservices: A survey of resource management frameworks
The growing adoption of microservice architectures (MSAs) has led to major research and
development efforts to address their challenges and improve their performance, reliability …
development efforts to address their challenges and improve their performance, reliability …
Delay-aware optimization of fine-grained microservice deployment and routing in edge via reinforcement learning
K Peng, J He, J Guo, Y Liu, J He… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Microservices have exerted a profound impact on the development of internet applications.
Meanwhile, the growing number of mobile terminal user requests has made the …
Meanwhile, the growing number of mobile terminal user requests has made the …