1. Toward an Analysable, Scalable, Energy-Efficient I/O Virtualization for Mixed-Criticality Systems.
- Author
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Jiang, Zhe, Dai, Xiaotian, Dong, Pan, Wei, Ran, Yang, Dawei, Audsley, Neil C., and Guan, Nan
- Subjects
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ENERGY management , *TASK analysis - Abstract
In mixed-criticality systems (MCSs), timely handling of I/O operations is a key for the system being successfully implemented and appropriately functioned. The I/O system for an MCS must simultaneously enable different features, including isolation/separation, timing-predictability, performance, scalability, and energy-efficiency. Moreover, such an I/O system also requires to manage I/O resource in an adaptive manner to facilitate efficient yet safe resource sharing among components of different criticality levels. Existing approaches cannot achieve all of these requirements simultaneously. This article presents a mixed-criticality I/O management framework, termed MCS-IOV. MCS-IOV is based on hardware-assisted virtualization, which provides temporal and spatial isolation and prohibits fault propagation with limited extra overhead. MCS-IOV extends a real-time I/O virtualization system, by supporting the concept of mixed criticalities and customized interfaces for schedulers, which offers good timing predictability and scalability. Finally, we introduce an energy management framework for MCS-IOV, ensuring the power-efficiency of the design. The MCS-IOV is the first systematical solution that fulfills all the requirements as a mixed-criticality I/O system. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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