Workflow Scheduling in Serverless Multi-Cloud Environments

Dr. Sudesh Rani

Abstract: Serverless computing has emerged as a transformative paradigm in cloud computing by enabling developers to deploy applications without managing infrastructure resources. With the rapid adoption of multi-cloud strategies, workflow scheduling across distributed serverless platforms has become a critical research challenge. Efficient workflow scheduling improves execution latency, enhances resource utilization, reduces operational cost, and increases system reliability across heterogeneous cloud providers. However, serverless environments introduce new constraints such as cold-start delays, stateless execution models, vendor-specific orchestration mechanisms, and dynamic resource provisioning. This paper presents a comprehensive study of workflow scheduling techniques in serverless multi-cloud environments. It reviews existing scheduling algorithms, analyzes architectural components, discusses performance optimization strategies, and identifies research challenges. The paper further highlights emerging directions such as AI-driven scheduling, blockchain-based trust orchestration, and edge-cloud workflow integration for next-generation distributed computing systems.

Keywords: Serverless computing, workflow scheduling, multi-cloud computing, FaaS orchestration, distributed workflows, cloud optimization