[Paper Review] Control-Scheduling Codesign: A Perspective on Integrating Control and Computing

Feng Xia, Youxian Sun|ArXiv.org|Jun 9, 2008

Real-Time Systems Scheduling61 references55 citations

TL;DR

This paper introduces control-scheduling codesign as a novel methodology that integrates feedback control and real-time computing to enhance system performance in embedded systems with resource constraints and workload uncertainty. By co-designing control and scheduling mechanisms, the approach enables adaptive, robust operation in unpredictable environments, offering a unified framework for both control and computer science communities to address emerging challenges in cyber-physical systems.

ABSTRACT

Despite rapid evolution, embedded computing systems increasingly feature resource constraints and workload uncertainties. To achieve much better system performance in unpredictable environments than traditional design approaches, a novel methodology, control-scheduling codesign, is emerging in the context of integrating feedback control and real-time computing. The aim of this work is to provide a better understanding of this emerging methodology and to spark new interests and developments in both the control and computer science communities. The state of the art of control-scheduling codesign is captured. Relevant research efforts in the literature are discussed under two categories, i.e., control of computing systems and codesign for control systems. Critical open research issues on integrating control and computing are also outlined.

Motivation & Objective

• Address the growing challenge of resource constraints and workload uncertainty in embedded computing systems.
• Overcome limitations of traditional, decoupled design approaches in control and computing systems.
• Foster interdisciplinary collaboration between control theory and real-time computing communities.
• Provide a comprehensive overview of state-of-the-art research in control-scheduling codesign.
• Identify critical open research issues for future development in integrated control-computing systems.

Proposed method

• Propose a co-design methodology that jointly optimizes control and scheduling components in embedded systems.
• Categorize research into two domains: control of computing systems and codesign for control systems.
• Utilize feedback control principles to dynamically adapt scheduling decisions based on system state and workload.
• Integrate real-time scheduling with control-theoretic models to ensure stability and performance under uncertainty.
• Leverage existing control and scheduling frameworks to enable bidirectional optimization.
• Present a conceptual framework for system-level integration, emphasizing feedback loops between control and scheduling.

Experimental results

Research questions

• RQ1 How can control and scheduling be co-designed to improve performance in resource-constrained embedded systems?
• RQ2 What are the key challenges in integrating feedback control with real-time scheduling in unpredictable environments?
• RQ3 How do existing approaches in control of computing systems and codesign for control systems differ in methodology and application?
• RQ4 What are the critical open issues that hinder the adoption and advancement of control-scheduling codesign?
• RQ5 In what ways can feedback mechanisms from control theory enhance scheduling decisions in real-time systems?

Key findings

• Control-scheduling codesign enables adaptive system behavior under workload uncertainty, improving resilience and performance.
• The integration of control and scheduling leads to more predictable and stable system operation in dynamic environments.
• Two primary research directions are identified: control of computing systems and codesign for control systems, each with distinct challenges and opportunities.
• The paper highlights that traditional decoupled design approaches fail to meet performance requirements in modern embedded systems.
• Critical open issues include modeling uncertainty, ensuring stability under joint optimization, and developing unified design methodologies.
• The framework provides a foundation for future research by unifying control and computing perspectives in cyber-physical systems.