Results 41 to 50 of about 181,670 (124)

Proactive Auto-Scaling for Service Function Chains in Cloud Computing Based on Deep Learning

IEEE Access
Auto-scaler system enables high Quality of Service (QoS) with low cost to survive in a competitive market. Indeed, the auto-scaling of Virtual Network Functionality (VNFs) can adaptively allocate the Cloud resources for various VNFs based on workload ...
Mohammad Bany Taha, Yousef Sanjalawe, Ahmad Al-Daraiseh, Salam Fraihat, Salam R. Al-E'mari   +4 more
doaj   +1 more source

A Next‐Generation Approach to Airline Reservations: Integrating Cloud Microservices With AI and Blockchain for Enhanced Operational Performance

IET Blockchain, Volume 5, Issue 1, January/December 2025.
This research presents a next‐generation airline reservation system that integrates cloud microservices, distributed Artificial intelligence (AI) modules, and blockchain technology to improve system efficiency, security, and customer satisfaction. The proposed architecture enhances scalability, transaction speed, and fraud prevention, while increasing ...
Biman Barua, M. Shamim Kaiser
wiley   +1 more source

Development of an autonomous Internet of Things system for distributed production of boxed flat sheet metal parts in railcar manufacturing

The Journal of Engineering, Volume 2025, Issue 1, January/December 2025.
Abstract Railcar manufacturing takes place in a multi‐tier production environment, where scheduling and resource allocation are two of many critical components of operations management. In general, organizations harness the opportunities presented by enterprise information systems (EIS) with connected devices to enhance the efficiency of their supply ...
Alice Elizabeth Matenga, Khumbulani Mpofu   +1 more
wiley   +1 more source

Automatic data featurization for enhanced proactive service auto-scaling: Boosting forecasting accuracy and mitigating oscillation

Journal of King Saud University: Computer and Information Sciences
Edge computing has gained widespread adoption for time-sensitive applications by offloading a portion of IoT system workloads from the cloud to edge nodes.
Ahmed Bali, Yassine El Houm, Abdelouahed Gherbi, Mohamed Cheriet   +3 more
doaj   +1 more source

Metabolomic signatures of carfilzomib‐related cardiotoxicity in patients with multiple myeloma

Clinical and Translational Science, Volume 17, Issue 5, May 2024.
Abstract As a treatment for relapsed or refractory multiple myeloma (MM), carfilzomib has been associated with a significant risk of cardiovascular adverse events (CVAE). The goals of our study were to evaluate the metabolomic profile of MM patients to identify those at high risk prior to carfilzomib treatment and to explore the mechanisms of ...
Samia Shabnaz, Trang N. Nguyen, Roy Williams, Samuel M. Rubinstein, Timothy J. Garrett, Marwa Tantawy, Michael G. Fradley, Mohammed E. Alomar, Kenneth H. Shain, Rachid C. Baz, Daniel Lenihan, Robert F. Cornell, Qing Lu, Yan Gong   +13 more
wiley   +1 more source

ML-Based Autoscaling for Elastic Cloud Applications: Taxonomy, Frameworks, and Evaluation

Mathematical and Computational Applications
Elastic cloud systems are increasingly employing machine learning (ML) to automate resource scaling in response to variable workloads and stringent service-level objectives. However, current ML-based autoscalers are fragmented across different platforms,
Vishwanath Srikanth Machiraju, Vijay Kumar, Sahil Sharma   +2 more
doaj   +1 more source

Systematic analysis of software development in cloud computing perceptions

Journal of Software: Evolution and Process, Volume 36, Issue 2, February 2024.
Cloud computing is characterized as a shared computing and communication infrastructure. Cloud computing is the ideal choice utilized for development modern software's as they have provided a completely new way of developing real time cost effective, efficient, and quality software. The major emphasis of the presented systematic literature review (SLR)
Habib Ullah Khan, Farhad Ali, Shah Nazir
wiley   +1 more source

Adaptive Financial Infrastructure: A DevOps–Machine Learning Framework for Predictive Resource and Operational Optimization

Systems
Financial systems operate under strict requirements for availability, low latency, resilience, and regulatory compliance, yet infrastructure management in these environments remains largely reactive.
Pavel-Cristian Crăciun, Andreea-Maria Trăistaru, Oana-Alexandra Dragomirescu, Ana-Ramona Bologa, Robert-Cristian Necula   +4 more
doaj   +1 more source

DATURA: A Deep Learning-Based Adaptive Traffic-Aware Unified Resource Autoscaling Framework for VNFs in 5G/B5G Networks

IEEE Open Journal of the Communications Society
This paper introduces DATURA, a Deep Learning(DL)–based Adaptive Traffic-aware Unified Resource Autoscaling framework for virtual network functions (VNFs) in 5G and beyond networks.
Kanchan Kumar Tiwari, Krishna M. Sivalingam   +1 more
doaj   +1 more source

Revolutionizing Cloud Management with AI-Powered Kubernetes Autoscaling Solutions [PDF]

The proliferation of microservices and containerization, orchestrated predominantly by Kubernetes, has introduced significant challenges in cloud resource management.
Mundigehalla Prabhakar, Chethan
core   +2 more sources