Tag: Scalability

Java Secrets High performance and scalability Book 4


Free Download Java Secrets: High performance and scalability: Unlock the full potential of Java with expert techniques for building scalable, high-performance applications … High performance and scalability Book 4)
by Alex Harrison, Walter Neto

English | December 19, 2024 | ASIN: B0DR1QL3V6 | 601 pages | PDF | 152 Mb

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Java Secrets High performance and scalability Book 3


Free Download Java Secrets: High performance and scalability: Unlock the full potential of Java with expert techniques for building scalable, high-performance applications … High performance and scalability Book 3)
by Alex Harrison, Walter Neto

English | December 19, 2024 | ASIN: B0DR1PNKTY | 553 pages | PDF | 148 Mb

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Java Secrets High performance and scalability Book 2


Free Download Java Secrets: High performance and scalability: Unlock the full potential of Java with expert techniques for building scalable, high-performance applications … High performance and scalability Book 2)
by Alex Harrison, Walter Neto

English | December 19, 2024 | ASIN: B0DQYMT3MR | 681 pages | PDF | 170 Mb

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Web Scalability for Startup Engineers


Free Download Web Scalability for Startup Engineers by Artur Ejsmont
English | July 3rd, 2015 | ISBN: 0071843655 | 417 pages | True PDF (Retail Copy) | 18.68 MB
This invaluable roadmap for startup engineers reveals how to successfully handle web application scalability challenges to meet increasing product and traffic demands.

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Distributed Event-triggered Control Scalability and Robustness


Free Download Distributed Event-triggered Control: Scalability and Robustness
English | 2023 | ISBN: 9819981697 | 274 Pages | PDF EPUB (True) | 17 MB
This book focuses on distributed event-triggered control of multi-agent systems, in which the event-triggering mechanism is utilized to reduce the communication frequencies in order to compensate for constrained network bandwidths, an aspect that poses significant challenges for distributed control design. The book summarizes the authors’ original, systematic contributions on scalability and robustness, two core issues in distributed event-triggered control. Specifically, the book presents fully distributed adaptive event-triggered control laws; as they rely on neither continuous communications nor global information on the network, these laws are scalable with regard to network size and topology. Moreover, the book provides novel and robust event-triggered algorithms, which can accommodate various frequency-domain and matching uncertainties.

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