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Lucas Baier

dblp:213/8304 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%
Network and information security
1 paper
Authentication and access control · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Embedded and real-time systems
real-time scheduling
0.312017
Temporal Capabilities: Access Control for Time · RTSS 2017
Authentication and access control
access control
0.112017
Temporal Capabilities: Access Control for Time · RTSS 2017
Authentication and access control › access control models
capability-based access control
0.112017
Temporal Capabilities: Access Control for Time · RTSS 2017
YearPublicationVenuePosition
2017 Temporal Capabilities: Access Control for Time
abstract
Embedded systems are increasingly required to handle code of various qualities that must often be isolated, yet predictably share resources. This has motivated the isolation of, for example, mission-critical code from best-effort features using isolation structures such as virtualization. Such systems usually focus on limiting interference between subsystems, which complicates the increasingly common functional dependencies between them. Though isolation must be paramount, the fundamental goal of efficiently sharing hardware motivates a principled mechanism for cooperating between subsystems. This paper introduces Temporal Capabilities (TCaps) which integrate CPU management into a capability-based access-control system and distribute authority for scheduling. In doing so, the controlled temporal coordination between subsystems becomes a first-class concern of the system. By enabling temporal delegations to accompany activations and requests for service, we apply TCaps to a virtualization environment with a shared VM for orchestrating I/O. We show that TCaps, unlike prioritizations and carefully chosen budgets, both meet deadlines for a hard real-time subsystem, and maintain high throughput for a best-effort subsystem.
Phani Kishore Gadepalli, Robert Gifford, Lucas Baier, Michael Kelly, Gabriel Parmer
RTSS3