COUNTER: Cluster GCN based Energy Efficient Resource Management for Sustainable Cloud Computing Environments

TL;DR

Addresses the environmental impact of cloud data centers and AI workloads by proposing COUNTER, a Cluster Graph Neural Network-based resource management framework. COUNTER uses a Cluster GCN-driven scheduler to optimize VM placement, balancing resource utilisation, energy consumption, and cost, within a Cloud Manager workflow that processes workload requests from Cloud Users. In Philharmonic simulations, COUNTER outperforms the HUNTER baseline, achieving higher utilization and lower energy consumption, with energy modeled as $E = E_{Processor} + E_{Cooling} + E_{Extra}$. The work demonstrates the potential of graph-based scheduling for sustainable cloud computing and suggests avenues for real-world deployment and expanded energy modeling.

Abstract

Cloud computing, thanks to the pervasiveness of information technologies, provides a foundational environment for developing IT applications, offering organizations virtually unlimited and flexible computing resources on a pay-per-use basis. However, the large data centres where cloud computing services are hosted consume significant amounts of electricity annually due to Information and Communication Technology (ICT) components. This issue is exacerbated by the increasing deployment of large artificial intelligence (AI) models, which often rely on distributed data centres, thereby significantly impacting the global environment. This study proposes the COUNTER model, designed for sustainable cloud resource management. COUNTER is integrated with cluster graph neural networks and evaluated in a simulated cloud environment, aiming to reduce energy consumption while maintaining quality of service parameters. Experimental results demonstrate improvements in resource utilisation, energy consumption, and cost effectiveness compared to the baseline model, HUNTER, which employs a gated graph neural network aimed at achieving carbon neutrality in cloud computing for modern ICT systems.

Figures (3)

• Figure 1: COUNTER Architecture
• Figure 2: Performance Comparison of COUNTER and HUNTER in terms of Energy Consumption and Cost
• Figure 3: Performance Comparison of COUNTER and HUNTER in terms of PMs Resource Utilisation