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A survey on resilience in the iot: Taxonomy, classification, and discussion of resilience mechanisms
Internet-of-Things (IoT) ecosystems tend to grow both in scale and complexity, as they
consist of a variety of heterogeneous devices that span over multiple architectural IoT layers …
consist of a variety of heterogeneous devices that span over multiple architectural IoT layers …
Methodological principles for reproducible performance evaluation in cloud computing
The rapid adoption and the diversification of cloud computing technology exacerbate the
importance of a sound experimental methodology for this domain. This work investigates …
importance of a sound experimental methodology for this domain. This work investigates …
Research on auto-scaling of web applications in cloud: survey, trends and future directions
Cloud computing emerging environment attracts many applications providers to deploy web
applications on cloud data centers. The primary area of attraction is elasticity, which allows …
applications on cloud data centers. The primary area of attraction is elasticity, which allows …
Machine learning-based auto-scaling for containerized applications
Containers are sha** the new era of cloud applications due to their key benefits such as
lightweight, very quick to launch, consuming minimum resources to run an application which …
lightweight, very quick to launch, consuming minimum resources to run an application which …
Deep learning-based autoscaling using bidirectional long short-term memory for kubernetes
NM Dang-Quang, M Yoo - Applied Sciences, 2021 - mdpi.com
Presently, the cloud computing environment attracts many application developers to deploy
their web applications on cloud data centers. Kubernetes, a well-known container …
their web applications on cloud data centers. Kubernetes, a well-known container …
Burst-aware predictive autoscaling for containerized microservices
Autoscaling methods are used for cloud-hosted applications to dynamically scale the
allocated resources for guaranteeing Quality-of-Service (QoS). The public-facing application …
allocated resources for guaranteeing Quality-of-Service (QoS). The public-facing application …
Predictive autoscaling of microservices hosted in fog microdata center
Fog computing provides microdata center (MDC) facilities closer to the users and
applications, which help to overcome the application latency and response time concerns …
applications, which help to overcome the application latency and response time concerns …
COPA: A combined autoscaling method for kubernetes
Z Ding, Q Huang - 2021 IEEE International Conference on Web …, 2021 - ieeexplore.ieee.org
Autoscaling 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 …
of-Service (QoS) in response to fluctuating workloads. Existing state-of-the-art autoscaling …
Why is it not solved yet? challenges for production-ready autoscaling
Autoscaling is a task of major importance in the cloud computing domain as it directly affects
both operating costs and customer experience. Although there has been active research in …
both operating costs and customer experience. Although there has been active research in …
K-agrued: A container autoscaling technique for cloud-based web applications in kubernetes using attention-based gru encoder-decoder
Cloud service providers can operate several execution instances on a single physical server
using virtualization technology, which improves resource utilization. In recent years …
using virtualization technology, which improves resource utilization. In recent years …