Results 81 to 90 of about 912,674 (282)
IEEE AccessModern microservice architectures face significant auto-scaling challenges due to dynamic workloads, heterogeneous resource demands, and competing quality objectives like performance, cost, and reliability.
Souheir Merkouche +3 more
doaj +1 more source
Real‐World Safety of Concomitant Colchicine and Statin Therapy
Arthritis Care &Research, EarlyView.Objective This study aimed to evaluate the risk of clinically meaningful muscle‐ and liver‐related outcomes associated with concomitant colchicine–statin therapy in a real‐world setting, and to determine whether concomitant therapy increases the incidence of toxicity compared with either agent alone.
Roni Meidan +5 more
wiley +1 more source
Arthritis Care &Research, Accepted Article.Objective Existing patient‐reported outcome (PRO) measures for systemic sclerosis (SSc) have important limitations, including inadequate coverage of early disease and limited inclusion of diffuse cutaneous (dcSSc) and limited cutaneous (lcSSc) subtypes.
George J. Greene +5 more
wiley +1 more source
Chamulteon: Coordinated Auto-Scaling of Micro-Services
2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS), 2019 Nowadays, in order to keep track of the fast changing requirements of Internet applications, auto-scaling is used as an essential mechanism for adapting the number of provisioned resources to the resource demand. The straightforward approach is to deploy a set of common and opensource single-service auto-scalers for each service independently. However,
André Bauer 0001 +5 more
openaire +5 more sources
A Comparison of Auto-scaling Techniques for Distributed Stream Processing
, 2022 As the world continues to embrace cloud computing, more applications are being scaled elastically. Elastic scaling allows applications to add or remove computing resources based on the load experienced by the application.
Koper,ook geschreven Jansen, Wybe (author)
core
Model-Driven Machine Learning for Predictive Cloud Auto-scaling [PDF]
, 2019 Cloud provisioning of resources requires continuous monitoring and analysis of the workload on virtual computing resources. However, cloud providers offer the rule-based and schedule-based auto-scaling service.
Alipour, Hanieh
core +1 more source
Advanced Engineering Materials, EarlyView.The present work reports the microstructural, mechanical, and texture evolution of a dissimilar combination laser‐welded maraging steel with 4340 steel. This is important for aerospace applications. The demand for dissimilar welding is growing rapidly with the requirement of efficient and durable joints.
Bharat Behl +3 more
wiley +1 more source
Edible Cuttlefish Ink: Complex Chemistry, Structure, and Electrical Response
Advanced Engineering Materials, EarlyView.An integrated approach of chemistry‐structure‐electrical properties is used to assess the potential of edible cuttlefish ink as a bio‐based conductive ink for printable electronics. Chromatography and Neutron Activation Analysis reveal a fascinating molecular and elemental diversity.
Camille Bour‐Cardinal +5 more
wiley +1 more source
Cloud Auto-scaling Auditing Approach using Blockchain
Auto-scaling mechanisms are frequently activated when deploying applications in the cloud environment. They are vital to ensure the application is capable of maintaining the requisite Quality of Service.
Bergami G +3 more
core +3 more sources
ISPRS International Journal of Geo-Information, 2017 Geospatial big data analysis (GBDA) is extremely significant for time-constraint applications such as disaster response. However, the time-constraint analysis is not yet a trivial task in the cloud computing environment. Spatial query processing (SQP) is
Wei Huang +3 more
doaj +1 more source