Aim & Scope

Aim

The Secits Journal of Scalable Distributed Computing and Pipeline Automation aims to provide a scholarly venue for research that advances distributed systems, automated data pipelines, cloud-native processing, and workflow intelligence. The journal promotes research that addresses the challenges of scalability, reliability, orchestration, and automation in modern data-intensive enterprises.

Scope

The journal publishes research in the following domains:

• Distributed systems design, architecture, and optimization

• Scalable workflow engines for batch, micro-batch, and streaming processes

• Pipeline automation frameworks using rule-based, metadata-driven, or low-code models

• ETL/ELT modernization in cloud and hybrid cloud environments

• Containerized workflows, microservices, and Kubernetes-based orchestration

• Distributed task scheduling, resource allocation, and performance tuning

• Workflow reliability engineering, fault tolerance, and self-healing pipelines

• Serverless computing, event-driven architectures, and cloud functions

• High-volume transactional data processing and ingestion frameworks

• Monitoring, observability, and compliance in automated pipelines

• Edge-cloud pipeline automation and real-time processing systems

• Industrial case studies in pipeline automation and distributed engineering