Autonomous Resource Scheduling for Real-Time and Stream Processing

Abstract

This work proposes the ARS(FaaS) framework, scheduling and provisioning resources for streaming applications autonomously. It ensures real-time response on unpredictable and fluctuating streaming data. We use a HPC Cloud platform as the de facto platform, and explore FaaS for stream processing on it. The major contribution of this work is effective and efficient autonomous resource scheduling for real-time streaming analytic.