Enhancing Endurance of Non Volatile Memory in Embedded Systems: Based on Optimized Machine Learning and Compression Techniques - Softcover

J P, Shritharanyaa; R, Saravana Kumar

 
9786207804832: Enhancing Endurance of Non Volatile Memory in Embedded Systems: Based on Optimized Machine Learning and Compression Techniques
Softcover
ISBN 10: 620780483X ISBN 13: 9786207804832
Verlag: LAP LAMBERT Academic Publishing, 2024

Inhaltsangabe

This book is focused on enhancing the endurance of Non-Volatile Random Access Memory (NVRAM) for embedded systems applications. It describes the methodology that combines optimized machine learning algorithms based on workload prediction and data compression techniques to prolong the lifespan of NVRAM. The framework utilizes an Instruction Per Cycle-based Dynamic Pattern Compression model to analyze and compress workloads, as well as a Workload Hybrid Energy Adaptive Learning model to categorize and further compress data for storage. The book provides a solution for improving NVRAM endurance, which is crucial for the performance of embedded devices, by addressing workload prediction and efficient compression.

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Über die Autorin bzw. den Autor

Dr. J P Shritharanyaa was born in Tamilnadu, India.She received a B.E degree in Electronics and Communication Engineering and an M.E degree in Embedded Systems. She also obtained a PhD degree in Information and Communication from Anna University, Tamilnadu, India. Her research interests include embedded systems design, IoT and Robotics.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2024
Sprache
Englisch
ISBN 10 
620780483X
ISBN 13 
9786207804832
Einband
Taschenbuch
Anzahl der Seiten
136
Kontakt zum Hersteller
Editions Muse
customerservice@vdm-vsg.de

Brivibas gatve 197
Riga
1039
Lettland