Results 31 to 40 of about 3,474 (205)

Business-Aware SLA-Driven Autoscaling for Kubernetes Microservices Using Application-Level Observability

IEEE Access
Autoscaling in Kubernetes is typically driven by infrastructure-level signals such as CPU utilization or external event triggers. While these approaches work well in many cases, they often fail to reflect application-level service pressure and business ...
Pallavi Priya Patharlagadda
doaj   +1 more source

Optimizing the Resource Utilization in Cloud Computing Environment with Autoscaling using Machine Learning Methods [PDF]

, 2023
In the rapidly evolving cloud ecosystem, maintaining service levels while optimizing resource utilization is paramount. Autoscaling is a technique that can be used to dynamically adjust the resources allocated to an application to meet demand.
Shettihalli Anandreddy, Sri Madhan
core   +2 more sources

IMPLEMENTASI AUTOSCALING CONTAINER WEB SERVER MENGGUNAKAN KUBERNETES BERBASIS PROXMOX PADA SERVER UNIVERSITAS DARUSSALAM GONTOR [PDF]

, 2019
Layanan web server di Universitas Darussalam Gontor belum diaplikasikan berbasis virtualisasi. Permasalahan website pada umumnya adalah web server tidak mampu melayani jumlah permintaan yang tinggi akibatnya web server failure. Salah satu permasalahan
ROSYADI, IMRON
core   +4 more sources

Performance trade-offs between predictive and reactive autoscaling in stateful microservices

Machinery & Energetics
The relevance of studying the trade-offs between reactive and predictive autoscaling of stateful microservices was due to the need to improve stability, resource performance and reliability of cloud systems in dynamic conditions. The aim of the study was
Kh. Terletska
doaj   +1 more source

A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud [PDF]

, 2022
Predictive autoscaling (autoscaling with workload forecasting) is an important mechanism that supports autonomous adjustment of computing resources in accordance with fluctuating workload demands in the Cloud. In recent works, Reinforcement Learning (RL)
Wang, Shijun, Wang, Shiyu, Shi, Xiaoming, Zhu, Shiyi, Tan, Xiaoyu, Ma, Lintao, Hu, Yun, Li, Jianguo, Zheng, Yangfei, Liao, Cong, Qu, Chao, Lei, Lei, Zhang, James, Xue, Siqiao   +13 more
core   +1 more source

Health risk assessment of heavy metal accumulation in fruits exposed to geothermal waters: a case study and global implications

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND The present study investigated the potential health risks of heavy metals (HMs) in the fruits and leaves of mulberry and sour cherry trees exposed to water from Sivas geothermal basin (Turkey). RESULTS The target HMs were ranked according to their hazard index as: Cd < Pb < Zn < Cu < Ni < Mn < Cr. The total hazard index for mulberry
E Işıl Arslan Topal, Murat Topal, Erdal Çelik, Erdal Öbek   +3 more
wiley   +1 more source

The new ionospheric station of Tucumán: first results

Annals of Geophysics, 2007
An Advanced Ionospheric Sounder, built at the Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy, was installed at Tucumán, Argentina, particularly interesting for its location, near the southern peak of the ionospheric equatorial ...
M. A. Cabrera, B. Zolesi, C. Scotto, C. Bianchi, E. Zuccheretti, M. Pezzopane, R. G. Ezquer   +6 more
doaj   +1 more source

Nitrogen‐doped graphene quantum dots tune the mineral, acid, and sugar profile of raisins in a cultivar‐specific manner

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND Carbon dots are emerging as low‐toxicity nano‐biostimulants, but their effects on the integrated mineral, organic‐acid, and sugar profiles of grape berries remain poorly characterized, especially in indigenous Vitis vinifera L. cultivars.
Zeki Kara, Osman Dogan, Metin Turan, Turhan Yilmaz, Cafer Kose, Ozkan Kaya   +5 more
wiley   +1 more source

Scalability in Microservices: A systematic literature review

Journal of Computer Science and Technology
The scalability of microservices architectures is crucial for modern software systems, yet it presents significant challenges due to their inherent complexities.
Nishal Gurung, Sushil Shrestha, Rajani Chulyadyo   +2 more
doaj   +1 more source

Proteomic Analysis of Mixed Cell Membrane Extracts From Triple‐Negative Breast Cancer Cell Lines Revealed Broad Metabolic Reprogramming Associated With Tumor Progression

PROTEOMICS, EarlyView.
ABSTRACT Triple‐negative breast cancer (TNBC) represents the most aggressive subtype with limited therapeutic options and the poorest clinical outcomes. Using high‐resolution nUPLC‐QTOF‐MS/MS, we performed comprehensive proteomic profiling of TNBC cell lines representing disease progression stages: HCC‐1937 (stage IIB), HCC‐1599 (stage IIIA), and MDA ...
Claudia Sissely Chaviano‐Montes de Oca, Violeta Larios‐Serrato, María Luisa Labra‐Barrios, Emmanuel Ríos‐Castro, Carlos Alberto Castañón‐Sánchez, Rodolfo Moreno‐Castillo, Erika Beatriz Ángeles‐Morales, Juan Pedro Luna‐Arias   +7 more
wiley   +1 more source