Results 31 to 40 of about 1,278 (112)

Improved Q Network Auto-Scaling in Microservice Architecture

Applied Sciences, 2022
Microservice architecture has emerged as a powerful paradigm for cloud computing due to its high efficiency in infrastructure management as well as its capability of largescale user service.
Yeonggwang Kim, Jaehyung Park, Junchurl Yoon, Jinsul Kim   +3 more
doaj   +1 more source

Comprehensive elucidation of volatile, phenolic, and organic acid profiles in Turkish mallow (Malva sylvestris L.) petal herbal tea: impact of diverse brewing conditions

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND Mallow (Malva sylvestris L.) petals are traditionally consumed as herbal tea across the Mediterranean for their soothing and anti‐inflammatory properties; however, scientific characterization of this consumption‐relevant matrix under realistic brewing conditions remains scarce.
Armin Amanpour, Ali Tekin, Ali Adnan Hayaloglu   +2 more
wiley   +1 more source

Use of predictive tools for the analysis of bioactive compounds in Crocus sativus L. flowers

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND Crocus sativus L. (saffron) flowers have high bioactive potential because of their content of crocins, safranal and phenolic compounds. The development of predictive models based on near‐infrared (NIR) spectroscopy and partial least squares regression to estimate the antioxidant capacity of saffron flower, evaluated using oxygen ...
Manuel Piqueras‐García, Jorge F Escobar‐Talavera, María Esther Martínez‐Navarro, Gonzalo L Alonso, Rosario Sánchez‐Gómez   +4 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

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

HGT-Autoscaler: Dependency-Aware Proactive Scaling of Microservices Using Heterogeneous Graph Transformers

IEEE Access
Autoscaling of microservice applications in containerized cloud environments remains a challenging problem due to complex inter-service dependencies, hierarchical deployment structures, and highly dynamic workloads.
Maxim Filippov, Manuel Mazzara
doaj   +1 more source

Graph neural networks for representing multivariate resource usage: A multiplayer mobile gaming case-study

International Journal of Information Management Data Insights, 2023
The emergence of Multiplayer Mobile Gaming (MMG) applications is intertwined with a plethora of Quality of Service and Quality of Experience requirements.
Theodoros Theodoropoulos, Antonios Makris, Ioannis Kontopoulos, John Violos, Przemysław Tarkowski, Zbyszek Ledwoń, Patrizio Dazzi, Konstantinos Tserpes   +7 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

ScalableDigitalHealth (SDH): An IoT-Based Scalable Framework for Remote Patient Monitoring

Sensors
Addressing the increasing demand for remote patient monitoring, especially among the elderly and mobility-impaired, this study proposes the “ScalableDigitalHealth” (SDH) framework.
Hisham Alasmary
doaj   +1 more source

Performance-Cost Trade-Off in Auto-Scaling Mechanisms for Cloud Computing

Sensors, 2022
Cloud computing has been widely adopted over the years by practitioners and companies with a variety of requirements. With a strong economic appeal, cloud computing makes possible the idea of computing as a utility, in which computing resources can be ...
Iure Fé, Rubens Matos, Jamilson Dantas, Carlos Melo, Tuan Anh Nguyen, Dugki Min, Eunmi Choi, Francisco Airton Silva, Paulo Romero Martins Maciel   +8 more
doaj   +1 more source