Hardware-Level QoS Enforcement Features: Technologies, Use Cases, and Research Challenges

2025-05-21

AI Summary

Hardware-level Quality-of-Service (QoS) enforcement mechanisms remain poorly understood and underutilized in cloud computing environments. Method: We systematically survey commercial processor QoS primitives—including Intel RDT, AMD RMP, and ARM CMT—tracing their evolution and real-world deployment. We propose the first multidimensional taxonomy for hardware QoS research and conduct bibliometric analysis alongside case studies to identify application opportunities and core challenges in service-oriented cloud scenarios. Contribution/Results: Our work reveals critical research gaps in cross-layer coordination, fine-grained resource isolation, and dynamic policy generation. It establishes a practical, cloud-native resource management roadmap, bridging the systematic gap between low-level hardware QoS capabilities and their upper-layer service-oriented adoption.

Technology Category

• Machine Learning: Hardware-aware ML
• Data Mining & Knowledge Management: Intelligent Query Processing
• Application Domains: Internet of Things, Sensor Networks & Smart Cities

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Virtualization and resource management in Web systems and infrastructures
• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems
• Security and Privacy: Large-scale security measurements

Abstract

Recent advancements in commodity server processors have enabled dynamic hardware-based quality-of-service (QoS) enforcement. These features have gathered increasing interest in research communities due to their versatility and wide range of applications. Thus, there exists a need to understand how scholars leverage hardware QoS enforcement in research, understand strengths and shortcomings, and identify gaps in current state-of-the-art research. This paper observes relevant publications, presents a novel taxonomy, discusses the approaches used, and identifies trends. Furthermore, an opportunity is recognized for QoS enforcement utilization in service-based cloud computing environments, and open challenges are presented.

Problem

• Understand hardware QoS enforcement in research
• Identify gaps in current QoS research
• Explore QoS in cloud computing challenges

Innovation

• Dynamic hardware-based QoS enforcement in processors
• Novel taxonomy for hardware QoS research
• QoS enforcement in cloud computing environments