Designing Real-Time Streaming Microservices Using AI and ML for Distributed Systems

METHOD FOR INTEGRATING RELATIONAL AND NON-RELATIONAL DATABASES IN HYBRID INFORMATION SYSTEMS

Adaptive Multi-Agent AI Framework for Real-Time Data Streaming with Enhanced Scalability and Resilience

Analytical findings indicate that decentralized agent specialization, shared contextual state, adaptive workload redistribution, and failure-aware coordination can provide a stronger basis for resilient streaming than static pipelines.

Future Generation Computer Systems

Future Generation Computer

This special issue aims to demonstrate how AI can overcome existing limitations in time-critical computing systems and applications, and to advance the state of the art in AI techniques for these systems.

Real-Time Distributed AI for Networked Cyber-Physical Systems Using IoT Devices and Cloud-Based Data Analytics

Digital networks, coupled with physical machine systems, are increasing rapidly. Due to this trend, massive amounts of real-time data are being generated at any given time, necessitating effective ways to handle them in a distributed setting. Here, a different setup is introduced that uses artificial intelligence on lo...

Building High-Performance Streaming and Analytics Platforms

The quantity of data that is created, processed, and streamed into a contemporary organisation is significant. As an engineering challenge, it is how to keep this up to date at all times and how to ingest, process, and serve this data with high availability and fault tolerance. This paper reviews architectural patterns...