GearV: A Two-Gear Hypervisor for Mixed-Criticality IoT Systems
Kaiwen Long, Chong Xing, Yuebin Qi, Pei Zhang, Changsong Wu, Wenxiao, Fang, Jing Tan, Jie Chen, Shiming Zhang, Zuosheng Wang, Zuanmin Liu, Cao, Liang, Jiaxiang Xu
TL;DR
GearV introduces a two-gear lightweight hypervisor architecture designed for mixed-criticality IoT systems, enabling simultaneous operation of best-effort and safety-critical systems with simplified retrofitting.
Contribution
The paper proposes a novel two-gear hypervisor architecture that improves integration and management of mixed-criticality IoT systems.
Findings
Supports concurrent execution of different criticality levels
Simplifies retrofitting virtualization systems
Provides a consolidated platform for mixed-criticality IoT
Abstract
This paper presents GearV, a two-gear lightweight hypervisor architecture to address the some known challenges. By dividing hypervisor into some partitions, and dividing scheduling policies into Gear1 and Gear2 respectively, GearV creates a consolidated platform to run best-effort system and safety-critical system simultaneously with managed engineering effort. The two-gears architecture also simplifies retrofitting the virtualization systems. We believe that GearV can serves as a reasonable hypervisor architecture for the mix-critical IoT systems.
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Taxonomy
TopicsCloud Computing and Resource Management · IoT and Edge/Fog Computing · Parallel Computing and Optimization Techniques