Per-Bank Bandwidth Regulation of Shared Last-Level Cache for Real-Time Systems

TL;DR

This paper introduces a per-bank bandwidth regulation method for shared last-level caches in multicore real-time systems, enhancing performance and security against cache bank-aware DoS attacks.

Contribution

It proposes a novel per-bank bandwidth regulation approach that improves cache performance and system security in real-time multicore systems.

Findings

Protects real-time tasks from cache bank-aware DoS attacks.

Achieves up to 3.66× performance improvement for benign tasks.

Effectively prevents cache bank contention and improves throughput.

Abstract

Modern commercial-off-the-shelf (COTS) multicore processors have advanced memory hierarchies that enhance memory-level parallelism (MLP), which is crucial for high performance. To support high MLP, shared last-level caches (LLCs) are divided into multiple banks, allowing parallel access. However, uneven distribution of cache requests from the cores, especially when requests from multiple cores are concentrated on a single bank, can result in significant contention affecting all cores that access the cache. Such cache bank contention can even be maliciously induced -- known as cache bank-aware denial-of-service (DoS) attacks -- in order to jeopardize the system's timing predictability. In this paper, we propose a per-bank bandwidth regulation approach for multi-banked shared LLC based multicore real-time systems. By regulating bandwidth on a per-bank basis, the approach aims to prevent unnecessary throttling of cache accesses to non-contended banks, thus improving overall performance (throughput) without compromising isolation benefits of throttling. We implement our approach on a RISC-V system-on-chip (SoC) platform using FireSim and evaluate extensively using both synthetic and real-world workloads. Our evaluation results show that the proposed per-bank regulation approach effectively protects real-time tasks from co-running cache bank-aware DoS attacks, and offers up to a 3.66$\times$ performance improvement for the throttled benign best-effort tasks compared to prior bank-oblivious bandwidth throttling approaches.