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) …
CoScal: Multifaceted scaling of microservices with reinforcement learning
The emerging trend towards moving from monolithic applications to microservices has
raised new performance challenges in cloud computing environments. Compared with …
raised new performance challenges in cloud computing environments. Compared with …
Microscaler: Automatic scaling for microservices with an online learning approach
Recently, the microservice becomes a popular architecture to construct cloud native systems
due to its agility. In cloud native systems, autoscaling is a core enabling technique to adapt …
due to its agility. In cloud native systems, autoscaling is a core enabling technique to adapt …
Microscaler: Cost-Effective Scaling for Microservice Applications in the Cloud With an Online Learning Approach
Recently, the microservice becomes a popular architecture to construct cloud native systems
due to its agility. In cloud native systems, autoscaling is a key enabling technique to adapt to …
due to its agility. In cloud native systems, autoscaling is a key enabling technique to adapt to …
Proscale: Proactive autoscaling for microservice with time-varying workload at the edge
Deploying microservice instances on the edge device close to end users can provide on-site
processing thus reducing request response time. Each microservice has multiple instances …
processing thus reducing request response time. Each microservice has multiple instances …
Adaptive microservice scaling for elastic applications
NC Coulson, S Sotiriadis… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Today, Internet users expect Web applications to be fast, performant, and always available.
With the emergence of Internet of Things (IoT), data collection and the analysis of streams …
With the emergence of Internet of Things (IoT), data collection and the analysis of streams …
Chamulteon: Coordinated auto-scaling of micro-services
Nowadays, in order to keep track of the fast changing requirements of Internet applications,
auto-scaling is used as an essential mechanism for adapting the number of provisioned …
auto-scaling is used as an essential mechanism for adapting the number of provisioned …
Showar: Right-sizing and efficient scheduling of microservices
AF Baarzi, G Kesidis - Proceedings of the ACM Symposium on Cloud …, 2021 - dl.acm.org
Microservices architecture have been widely adopted in designing distributed cloud
applications where the application is decoupled into multiple small components (ie" …
applications where the application is decoupled into multiple small components (ie" …
Towards quantifiable boundaries for elastic horizontal scaling of microservices
MR López, J Spillner - … of the10th International Conference on Utility and …, 2017 - dl.acm.org
One of the most useful features of a microservices architecture is its versatility to scale
horizontally. However, not all services scale in or out uniformly. The performance of an …
horizontally. However, not all services scale in or out uniformly. The performance of an …
ATOM: Model-driven autoscaling for microservices
Microservices based architectures are increasingly widespread in the cloud software
industry. Still, there is a shortage of auto-scaling methods designed to leverage the unique …
industry. Still, there is a shortage of auto-scaling methods designed to leverage the unique …