An ensemble clustering approach for modeling hidden categorization perspectives for cloud workloads

M Daraghmeh, A Agarwal, Y Jararweh - Cluster Computing, 2024 - Springer
Effectively managing cloud resources is a complex task due to the interdependencies of
various cloud-hosted services and applications. This task is integral to workload …

Task classification and scheduling based on K-means clustering for edge computing

I Ullah, HY Youn - Wireless Personal Communications, 2020 - Springer
The rapid evolution of Internet of Things and cloud computing have endorsed a novel
computing paradigm called edge computing. Here tasks are processed by edge devices …

Analyzing energy/performance trade-offs with power capping for parallel applications on modern multi and many core processors

A Krzywaniak, J Proficz… - … Federated conference on …, 2018 - ieeexplore.ieee.org
In the paper we present extensive results from analyzing energy/performance trade-offs with
power capping observed on four different modern CPUs, for three different parallel …

Cloud Workload Categorization Using Various Data Preprocessing and Clustering Techniques

M Daraghmeh, A Agarwal, Y Jararweh - Proceedings of the IEEE/ACM …, 2023 - dl.acm.org
Effectively managing cloud resources can be challenging due to the inter-dependencies of
various cloud-hosted services. Workload categorization identifies and groups workloads …

Analysis of workloads for cloud infrastructure capacity planning

E Patel, DS Kushwaha - Data and Communication Networks: Proceedings …, 2019 - Springer
Workload analysis and characterization are the first steps toward effective cloud
infrastructure capacity planning. Identifying workload patterns based on resource utilization …

General Provisioning Strategy for Local Specialized Cloud Computing Environments

P Orzechowski, H Krawczyk - International Conference on Dependability …, 2023 - Springer
The well-known management strategies in cloud computing based on SLA requirements are
considered. A deterministic parallel provisioning algorithm has been prepared and used to …

Machine Learning-Driven Strategies for Efficient Resource Management in Cloud Data Centers

D Mustafa - 2024 - spectrum.library.concordia.ca
Cloud computing is one of the major paradigms in the information technology industry,
offering diverse scalable on-demand services over the Internet. Nevertheless, managing …

Wykorzystanie klasyfikacji funkcjonalnej usług do efektywnego zarządzania zasobami chmurowymi

P Orzechowski - 2023 - mostwiedzy.pl
Wykazano jak istotnym problemem jest zarzadzanie chmurą obliczeniową, w tym alokacja
zasobów do wykonania usług (workloadów) zgłoszonych przez użytkownika …

Complementary oriented allocation algorithm for cloud computing

P Orzechowski - TASK Quarterly, 2017 - mostwiedzy.pl
Nowadays cloud computing is one of the most popular processing models. More and more
different kinds of workloads have been migrated to clouds. This trend obliges the community …

Tuning a container orchestrator

G Punathil - US Patent 11,900,078, 2024 - Google Patents
A method includes determining, by a computing device, a programming language of a
running workload; selecting, by the computing device, a profiler module in view of the …