Toward massive machine type communications in ultra-dense cellular IoT networks: Current issues and machine learning-assisted solutions
The ever-increasing number of resource-constrained machine-type communication (MTC)
devices is leading to the critical challenge of fulfilling diverse communication requirements …
devices is leading to the critical challenge of fulfilling diverse communication requirements …
[HTML][HTML] Monitoring self-adaptive applications within edge computing frameworks: A state-of-the-art review
Recently, a promising trend has evolved from previous centralized computation to
decentralized edge computing in the proximity of end-users to provide cloud applications. To …
decentralized edge computing in the proximity of end-users to provide cloud applications. To …
Autopilot: workload autoscaling at google
K Rzadca, P Findeisen, J Swiderski, P Zych… - Proceedings of the …, 2020 - dl.acm.org
In many public and private Cloud systems, users need to specify a limit for the amount of
resources (CPU cores and RAM) to provision for their workloads. A job that exceeds its limits …
resources (CPU cores and RAM) to provision for their workloads. A job that exceeds its limits …
Intelligent autoscaling of microservices in the cloud for real-time applications
Cloud applications are becoming more containerized in nature. Developing a cloud
application based on a microservice architecture imposes different challenges including …
application based on a microservice architecture imposes different challenges including …
A comparison of reinforcement learning techniques for fuzzy cloud auto-scaling
A goal of cloud service management is to design self-adaptable auto-scaler to react to
workload fluctuations and changing the resources assigned. The key problem is how and …
workload fluctuations and changing the resources assigned. The key problem is how and …
An uncertainty-aware approach to optimal configuration of stream processing systems
P Jamshidi, G Casale - 2016 IEEE 24th International …, 2016 - ieeexplore.ieee.org
Finding optimal configurations for Stream Processing Systems (SPS) is a challenging
problem due to the large number of parameters that can influence their performance and the …
problem due to the large number of parameters that can influence their performance and the …
Control-theoretical software adaptation: A systematic literature review
Modern software applications are subject to uncertain operating conditions, such as
dynamics in the availability of services and variations of system goals. Consequently …
dynamics in the availability of services and variations of system goals. Consequently …
The blockchain manifesto
The process of implementing education globally basically cannot keep up with current
developments. The education sector is currently facing various problems; in this case, the …
developments. The education sector is currently facing various problems; in this case, the …
Dynamic multi-level auto-scaling rules for containerized applications
S Taherizadeh, V Stankovski - The Computer Journal, 2019 - academic.oup.com
Container-based cloud applications require sophisticated auto-scaling methods in order to
operate under different workload conditions. The choice of an auto-scaling method may …
operate under different workload conditions. The choice of an auto-scaling method may …
A discrete-time feedback controller for containerized cloud applications
Modern Web applications exploit Cloud infrastructures to scale their resources and cope
with sudden changes in the workload. While the state of practice is to focus on dynamically …
with sudden changes in the workload. While the state of practice is to focus on dynamically …