Verlag: LAP LAMBERT Academic Publishing, 2021
ISBN 10: 620384117X ISBN 13: 9786203841176
Sprache: Englisch
Anbieter: preigu, Osnabrück, Deutschland
EUR 64,65
Währung umrechnenAnzahl: 5 verfügbar
In den WarenkorbTaschenbuch. Zustand: Neu. Cognitive Scheduler | FPGA based Adaptive Hardware Scheduler | Dinesh Harkut (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203841176 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Verlag: LAP LAMBERT Academic Publishing, 2021
ISBN 10: 620384117X ISBN 13: 9786203841176
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 77,82
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbTaschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The embedded systems are bound to real-time constraints with determinism and latency as critical metrics. Generally RTOS implemented through software are found to introduce a significant amount of performance degradation. Task scheduling, resource allocation and de-allocation, deadlock detection and other OS/API functions steal execution time from the tasks executing on the CPU. Scheduling algorithms play an important role in the design of real-time systems as it improves the usage of system resources. The performance loss comes in the form of increased processor utilization, response time, real-time jitter, memory footprint can be reduced significantly by utilizing latest Fuzzy Inference System based adaptive FPGA hardware task scheduler for multiprocessor systems which minimizes the processor time for scheduling activity. An adaptive framework with feedback mechanism allows processors dynamically controlled the sharing of task on multiprocessors systems. The increased computational overheads resulted can be compensated by exploiting the parallelism of the hardware and thus improves the overall performance of RTOS and Embedded system.