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The Effects of Autoscaling in Cloud Computing [PDF]
Management Science, 2018 Web-based firms often rely on cloud-based computational resources to serve customers, but the number of customers they will serve is rarely known at the time of product launch. A recent innovation in cloud computing, known as autoscaling, allows companies to automatically scale their computational load up or down to match customer demand.
Amir Fazli +2 more
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ATOM: Model-Driven Autoscaling for Microservices [PDF]
2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS), 2019 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 features of these architectures, such as the ability to independently scale a subset of microservices, as well as the ease of monitoring their state and reciprocal calls.
Alim Ul Gias +2 more
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IaaS Reactive Autoscaling Performance Challenges
2018 IEEE 11th International Conference on Cloud Computing (CLOUD), 2018The main feature of a cloud application is its scalability. Major IaaS cloud services providers (CSP) employ autoscaling on the level of virtual machines (VM). Other virtualization solutions (e.g. containers, pods) can also scale. An application scales in response to change in observed metrics, e.g. in CPU utilization.
Vladimir Podolskiy +2 more
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Predictive Autoscaling of Microservices Hosted in Fog Microdata Center [PDF]
IEEE Systems Journal, 2021 Fog computing provides microdata center (MDC) facilities closer to the users and applications, which help to overcome the application latency and response time concerns.
Arif Mahmood +2 more
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Practical Efficient Microservice Autoscaling
ACM SIGMETRICS Performance Evaluation Review, 2023Motivation. In recent years, the adoption of microservices in production systems has been steadily growing. With their loosely-coupled and lightweight components, microservices are easier to manage than traditional monolithic applications. However, microservices introduce new challenges towards efficient resource management because their high number of
Md Rajib Hossen, Mohammad A. Islam 0001
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Autoscaling for Hadoop Clusters
2016 IEEE International Conference on Cloud Engineering (IC2E), 2016Unforeseen events such as node failures and resource contention can have a severe impact on the performance of data processing frameworks, such as Hadoop, especially in cloud environments where such incidents are common. SLA compliance in the presence of such events requires the ability to quickly and dynamically resize infrastructure resources ...
Anshul Gandhi +4 more
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COPA: A Combined Autoscaling Method for Kubernetes
2021 IEEE International Conference on Web Services (ICWS), 2021Autoscaling is one of the major features of Cloud Computing aiming to improve the Quality-of-Service(QoS) in response to fluctuating workloads. Existing state-of-the-art autoscaling methods for Kubernetes focus on single scaling mode, that is, only horizontal scaling and only vertical scaling.
Zhijun Ding, Qichen Huang
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Predicting CPU usage for proactive autoscaling
Proceedings of the 1st Workshop on Machine Learning and Systems, 2021Private and public clouds require users to specify requests for resources such as CPU and memory (RAM) to be provisioned for their applications. The values of these requests do not necessarily relate to the application's run-time requirements, but only help the cloud infrastructure resource manager to map requested resources to physical resources.
Thomas Wang, Simone Ferlin, Marco Chiesa
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Optimal autoscaling in a IaaS cloud
Proceedings of the 9th international conference on Autonomic computing, 2012An application provider leases resources (i.e., virtual machine instances) of variable configurations from a IaaS provider over some lease duration (typically one hour). The application provider (i.e., consumer) would like to minimize their cost while meeting all service level obligations (SLOs).
Hamoun Ghanbari +4 more
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