Horizontal and vertical scaling of container-based applications using reinforcement learning

F Rossi, M Nardelli, V Cardellini - 2019 IEEE 12th International …, 2019 - ieeexplore.ieee.org
Software containers are changing the way distributed applications are executed and
managed on cloud computing resources. Interestingly, containers offer the possibility of …

Geo-distributed efficient deployment of containers with kubernetes

F Rossi, V Cardellini, FL Presti, M Nardelli - Computer Communications, 2020 - Elsevier
Software containers are changing the way applications are designed and executed.
Moreover, in the last few years, we see the increasing adoption of container orchestration …

Barista: Efficient and scalable serverless serving system for deep learning prediction services

A Bhattacharjee, AD Chhokra, Z Kang… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
Pre-trained deep learning models are increasingly being used to offer a variety of compute-
intensive predictive analytics services such as fitness tracking, speech, and image …

A comprehensive feature comparison study of open-source container orchestration frameworks

E Truyen, D Van Landuyt, D Preuveneers, B Lagaisse… - Applied Sciences, 2019 - mdpi.com
Featured Application Practitioners and industry adopters can use the descriptive feature
comparison as a decision structure for identifying the most suited container orchestration …

Hierarchical resource orchestration framework for real-time containers

V Struhár, SS Craciunas, M Ashjaei… - ACM Transactions on …, 2024 - dl.acm.org
Container-based virtualization is a promising deployment model in fog and edge computing
applications, because it allows a seamless co-existence of virtualized applications in a …

On the future of cloud engineering

D Bermbach, A Chandra, C Krintz… - … conference on cloud …, 2021 - ieeexplore.ieee.org
Ever since the commercial offerings of the Cloud started appearing in 2006, the landscape
of cloud computing has been undergoing remarkable changes with the emergence of many …

IADA: A dynamic interference-aware cloud scheduling architecture for latency-sensitive workloads

V Meyer, ML da Silva, DF Kirchoff… - Journal of Systems and …, 2022 - Elsevier
Cloud computing allows several applications to share physical resources, yielding rapid
provisioning and improving hardware utilization. However, multiple applications contending …

[HTML][HTML] Cloud white: Detecting and estimating qos degradation of latency-critical workloads in the public cloud

L Pons, J Feliu, J Sahuquillo, ME Gómez, S Petit… - Future Generation …, 2023 - Elsevier
The increasing popularity of cloud computing has forced cloud providers to build economies
of scale to meet the growing demand. Nowadays, data-centers include thousands of …

URMILA: Dynamically trading-off fog and edge resources for performance and mobility-aware IoT services

S Shekhar, A Chhokra, H Sun, A Gokhale… - Journal of Systems …, 2020 - Elsevier
The fog/edge computing paradigm is increasingly being adopted to support a range of
latency-sensitive IoT services due to its ability to assure the latency requirements of these …

ML-driven classification scheme for dynamic interference-aware resource scheduling in cloud infrastructures

V Meyer, DF Kirchoff, ML Da Silva… - Journal of Systems …, 2021 - Elsevier
Computing systems continue to evolve, resulting in increased performance when processing
workloads in large data centers due to the virtualization benefits. This technology is the key …