PPTAM: production and performance testing based application monitoring

A Avritzer, D Menasché, V Rufino, B Russo… - Companion of the 2019 …, 2019 - dl.acm.org
It is mandatory to continuously assess software systems during development and operation,
eg, through testing and monitoring, to make sure that they meet their required level of …

Provisioning computational resources for cloud-based e-learning platforms using deep learning techniques

J Ariza, M Jimeno, R Villanueva-Polanco… - IEEE …, 2021 - ieeexplore.ieee.org
The use of e-learning technologies is growing even faster due to the existing conditions
where virtual setups temporarily replace traditional classroom environments. Service …

Btvmp: A burst-aware and thermal-efficient virtual machine placement approach for cloud data centers

J Li, Y Deng, R Wang, Y Zhou, H Feng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the rapid growth of cloud computing, frequent workload bursts show an increasing
influence on the Quality of Service (QoS) and energy efficiency of cloud-based data centers …

LWS: a framework for log-based workload simulation in session-based SUT

Y Han, Q Du, J Xu, S Zhao, Z Chen, L Cao, K Yin… - Journal of Systems and …, 2023 - Elsevier
Artificial intelligence for IT Operations (AIOps) plays a critical role in operating and managing
cloud-native systems and microservice-based applications but is limited by the lack of high …

Context-tailored workload model generation for continuous representative load testing

H Schulz, D Okanović, A van Hoorn… - Proceedings of the ACM …, 2021 - dl.acm.org
Load tests evaluate software quality attributes, such as performance and reliability, by eg,
emulating user behavior that is representative of the production workload. Existing …

Performance regression detection in devops

J Chen - Proceedings of the ACM/IEEE 42nd International …, 2020 - dl.acm.org
Performance is an important aspect of software quality. The goals of performance are
typically defined by setting upper and lower bounds for response time and throughput of a …

ETune: Efficient configuration tuning for big-data software systems via configuration space reduction

R Cao, L Bao, K Zhao, P Zhangsun - Journal of Systems and Software, 2024 - Elsevier
Configuration tuning for big-data software systems is generally challenging due to the
complex configuration space and costly performance evaluation. The workload changes …

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 …

End-to-end online performance data capture and analysis for scientific workflows

G Papadimitriou, C Wang, K Vahi, RF da Silva… - Future Generation …, 2021 - Elsevier
With the increased prevalence of employing workflows for scientific computing and a push
towards exascale computing, it has become paramount that we are able to analyze …

Auto-tuning elastic applications in production

AR Sampaio, I Beschastnikh, D Maier… - 2023 IEEE/ACM 45th …, 2023 - ieeexplore.ieee.org
Modern cloud applications must be tuned for high performance. Yet, a single static
configuration is insufficient since a cloud application must deal with changes in workload …