A Model Driven Intelligent Orchestration Approach to Service Automation in Large Distributed Infrastructures

Abstract

Today's scientific computing applications and workflows operate on heterogeneous and vastly distributed infrastructures. Traditional human-in-the-loop service engineering approach met its insurmountable challenge in dealing with these very complex and diverse networked systems, including conventional and software defined networks, compute, storage, clouds and instruments. Orchestration is the key to integrate and coordinate the networked multi-services and automate end-to-end workflows. In this work, we present a model driven intelligent orchestration approach to this end-to-end automation, which is built upon a semantic modeling solution that supports the full stack of service integration, orchestration, abstraction, and intent and policy representation. We also present the design of a real-world orchestrator called StackV that is able to accommodate highly complex application scenarios such as Software Defined ScienceDMZ (SD-SDMZ) and Hybrid Cloud Inter-Networking (HCIN) by implementing this approach.