Fundamentals of Brooks–Iyengar Distributed Sensing Algorithm

Trends, Advances, and Future Prospects

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Springer


Paru le : 2020-02-05



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Ce livre fournit une analyse complète de l'algorithme de détection distribuée de Brooks-Iyengar, qui combine la puissance de l'accord byzantin et de la fusion des capteurs pour construire un réseau de capteurs distribués tolérant aux pannes. Les auteurs analysent ses impacts à long terme, ses avancées et ses perspectives d'avenir. Le livre commence par une discussion sur l'algorithme Brooks-Iyengar, qui a eu un impact significatif depuis sa première publication en 1996. Les auteurs montrent comment la technique a été appliquée dans de nombreux domaines tels que la fiabilité des logiciels, les systèmes distribués et le développement de systèmes d'exploitation, etc. Le livre illustre la façon dont l'algorithme a amélioré les nouvelles fonctionnalités en temps réel en ajoutant des capacités de tolérance aux pannes pour de nombreuses applications. Les auteurs affirment que l'algorithme Brooks-Iyengar continuera à être utilisé lorsque des solutions tolérantes aux pannes sont nécessaires dans des scénarios de systèmes redondants
. Ce livre célèbre les réalisations de S.S. Iyengar qui lui ont valu le prix "Test of Time Award" du congrès de cybermatique de l'Institute of Electrical and Electronics Engineers (IEEE) de 2019 pour ses travaux sur la création de l'algorithme Brooks-Iyengar et son impact sur l'avancement de l'informatique moderne.
Pages
202 pages
Collection
n.c
Parution
2020-02-05
Marque
Springer
EAN papier
9783030331313
EAN PDF
9783030331320

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
20
Taille du fichier
3533 Ko
Prix
89,66 €
EAN EPUB
9783030331320

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
20
Taille du fichier
15002 Ko
Prix
89,66 €

Pawel Sniatala received the M.S. degree in Telecommunication, M.S. degree in Computer Science and Ph.D. degree in Microelectronics all from Poznan University of Technology, Poland. He received the habilitation degree (D.Sc.) in electronics in 2016. From 1998 to 2002 he was with the Department of Computer Engineering at the Rochester Institute of Technology (USA). He returned to Poznan University of Technology to take a position in the Faculty of Computing, where currently, he is the Vice Dean for Industrial Cooperation. He also graduated the international MBA study in join programme George State University and Pozna University of Economics. His area of interests focuses on VLSI circuits for digital and mixed analog-digital signal processing systems: UltraLow Power ASIC design, Implantable IC, Signal/Image processing hardware-software codesign, Hardware accelerators. However, following his computing science background, he is also involved in research projects related to eHealth area. He was involved in several industrial projects e.g.: control and monitoring systems for gas mine systems, control systems for water treatment plant and teletechniques systems for airport. He has served in several international Ph.D. and M.S. committees (Portugal, USA). He was giving invited courses/lectures in several universities outside Poland: USA, Portugal, Peru, Taiwan. He is an author and coauthor of 90 papers including a monograph: P. Sniatala, CMOS Current Mode Modulators, Poznan Monographs in Computing and Its Applications, Poznan 2016.

M. Hadi Amini M. Hadi Amini received his Ph.D. and M.Sc. from Carnegie Mellon University in 2019 and 2015 respectively. He also holds a doctoral degree in Computer Science and Technology. Prior to that, he received M.Sc. from Tarbiat Modares University in 2013, and the B.Sc. from Sharif University of Technology in 2011. He is currently an Assistant Professor at School of Computing and Information Sciences, College of Engineering and Computing at Florida International University (FIU). He is also the founding director of Sustainability, Optimization, and Learning for InterDependent networks laboratory (solid lab). His research interests include distributed machine learning and optimization algorithms, distributed intelligence, sensor networks, interdependent networks, and cyberphysical resilience. Application domains include energy systems, healthcare, device-free human sensing, and transportation networks. 

Prof. Amini is a life member of IEEE-Eta Kappa Nu (IEEE-HKN), the honor society of IEEE. He organized a panel on distributed learning and novel artificial intelligence algorithms, and their application to healthcare, robotics, energy cybersecurity, distributed sensing, and policy issues in 2019 workshop on artificial intelligence at FIU. He also served as President of Carnegie Mellon University Energy Science and Innovation Club; as technical program committee of several IEEE and ACM conferences; and as the lead editor for a book series on ‘‘Sustainable Interdependent Networks’’ since 2017, as well as . He has published more than 60 refereed journal and conference papers, and book chapters. He has co-authored two books, and edited three books on various aspects of optimization and machine learning for interdependent networks. He is the recipient of the best reviewer award from four IEEE Transactions, the best journal paper award in “Journal of Modern Power Systems and Clean Energy”, and the dean’s honorary award from the President of Sharif University of Technology. (homepage: www.hadiamini.com; lab website: www.solidlab.network)

Kianoosh G. Boroojeni received his PhD in computer science from Florida International University. He received his B.Sc degree from University of Tehran in 2012. His research interests include smart grids and cybersecurity. He is the author/co-author of a number of books published by MIT Press and Springer and various peer-reviewed journal publications and conference proceedings. He is currently a faculty at Florida International University.

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