Cognitive Scheduler
FPGA based Adaptive Hardware Scheduler
(Sprache: Englisch)
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...
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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.
Autoren-Porträt von Dinesh Harkut, Kashmira Kasat
Harkut, DineshDr. Dinesh G Harkut is working as Associate Professor at PRMCEAM, Badnera, India in Computer Science & Engg. department. He has obtained his Bachelor's, Master's Engineering Degree (CSE) and Ph.D. (CSE) from SGB Amravati University, India. He has also obtained Master's Degree and Ph.D. (Business Administration). He has published 8 books, 47 papers.
Bibliographische Angaben
- Autoren: Dinesh Harkut , Kashmira Kasat
- 2021, 240 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 620384117X
- ISBN-13: 9786203841176
Sprache:
Englisch
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