P
Paolo Gai
Researcher at Sant'Anna School of Advanced Studies
Publications - 38
Citations - 1235
Paolo Gai is an academic researcher from Sant'Anna School of Advanced Studies. The author has contributed to research in topics: Scheduling (computing) & Real-time operating system. The author has an hindex of 16, co-authored 35 publications receiving 1191 citations.
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Proceedings ArticleDOI
Minimizing memory utilization of real-time task sets in single and multi-processor systems-on-a-chip
TL;DR: A fast and simple algorithm for sharing resources in multiprocessor systems, together with an innovative procedure for assigning preemption thresholds to tasks that allows to guarantee the schedulability of hard real-time task sets while minimizing RAM usage.
Journal ArticleDOI
FTT-Ethernet: a flexible real-time communication protocol that supports dynamic QoS management on Ethernet-based systems
TL;DR: The FTT-Ethernet protocol employs an efficient master/multislave transmission control technique and combines online scheduling with online admission control, to guarantee continued real-time operation under dynamic communication requirements, together with data structures and mechanisms that are tailored to support dynamic QoS management.
Proceedings ArticleDOI
The FTT-ethernet protocol: merging flexibility, timeliness and efficiency
TL;DR: An overview about the work previously done towards real-time communication on Ethernet is presented and a new protocol, FTT-Ethernet, which relies on common network adapters and on a new transmission control named master/multi-slave that efficiently supports hard-real-time operation in a flexible way is presented.
Proceedings ArticleDOI
A comparison of MPCP and MSRP when sharing resources in the Janus multiple-processor on a chip platform
TL;DR: An experimental evaluation that compares the performance of the proposed Multiprocessor Stack Resource Policy (MSRP) with a solution based on Rate Monotonic and MPCP in the con text of the Janus multiple processor architecture shows MSRP to be better for random task periods but not conclusive.
Proceedings ArticleDOI
A new kernel approach for modular real-time systems development
TL;DR: The proposed architecture is to provide a platform for fast prototyping scheduling algorithms both for the CPU and for the devices and is fully modular in terms of scheduling policies, aperiodic servers, and concurrency control protocols.