A survey on resilience in the iot: Taxonomy, classification, and discussion of resilience mechanisms

C Berger, P Eichhammer, HP Reiser… - ACM Computing …, 2021 - dl.acm.org
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 …

Methodological principles for reproducible performance evaluation in cloud computing

AV Papadopoulos, L Versluis, A Bauer… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
The rapid adoption and the diversification of cloud computing technology exacerbate the
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

P Singh, P Gupta, K Jyoti, A Nayyar - Scalable Computing: Practice and …, 2019 - scpe.org
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 …

Machine learning-based auto-scaling for containerized applications

M Imdoukh, I Ahmad, MG Alfailakawi - Neural Computing and Applications, 2020 - Springer
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 …

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 …

Burst-aware predictive autoscaling for containerized microservices

M Abdullah, W Iqbal, JL Berral, J Polo… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Autoscaling methods are used for cloud-hosted applications to dynamically scale the
allocated resources for guaranteeing Quality-of-Service (QoS). The public-facing application …

Predictive autoscaling of microservices hosted in fog microdata center

M Abdullah, W Iqbal, A Mahmood… - IEEE Systems …, 2020 - ieeexplore.ieee.org
Fog computing provides microdata center (MDC) facilities closer to the users and
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 …

Why is it not solved yet? challenges for production-ready autoscaling

M Straesser, J Grohmann, J von Kistowski… - Proceedings of the …, 2022 - dl.acm.org
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 …

K-agrued: A container autoscaling technique for cloud-based web applications in kubernetes using attention-based gru encoder-decoder

J Dogani, F Khunjush, M Seydali - Journal of Grid Computing, 2022 - Springer
Cloud service providers can operate several execution instances on a single physical server
using virtualization technology, which improves resource utilization. In recent years …