Simulation of Auction Mechanism Model for Energy-Efficient High Performance Computing

Abstract

High performance computing (HPC) systems are large-scale computing systems with thousands of compute nodes. Massive energy consumption is a critical issue for HPC systems. In this paper, we develop an auction mechanism model for energy consumption reduction in an HPC system. Our proposed model includes an optimized resource allocation scheme for HPC jobs based on processor frequency and a Vickery-Clarke-Groove (VCG)-based forward auction model to enable energy reduction participation from HPC users. The model ensures truthful participation from HPC users, where users benefit from revealing their true valuation of energy reduction. We implement a job scheduler simulator and our mechanism model on a parallel discrete-event simulation engine. Through trace-based simulation, we demonstrate the effectiveness of our auction mechanism model. Simulation shows that our model can achieve overall energy reduction for an HPC system, while ensuring truthful participation from the users.