00000nam a22000007i 4500 UP-8027390931311832254 Buklod 20250411103204.0 m |o d | cr ||||||||||| 250411s2021 xx u eng 9783030717568 (eBook) (Buklod)UP-8027295163992815161 DLC DENGII rda eng QA 76.9 A97 A98 2021eb Autonomic computing in cloud resource management in Industry 4.0 Tanupriya Choudhury [and five others], editors. Switzerland Springer [2021] 1 online resource. text txt rdacontent computer rdamedia online resource nc rdacarrier EAI/Springer Innovations in Communication and Computing IP based subscription, on campus and remote access Access via Electronic Resources of the UPD Engineering Library and University Library websites. This book describes the next generation of industry—Industry 4.0—and how it holds the promise of increased flexibility in manufacturing, along with automation, better quality, and improved productivity. The authors discuss how it thus enables companies to cope with the challenges of producing increasingly individualized products with a short lead-time to market and higher quality. The authors posit that intelligent cloud services and resource sharing play an important role in Industry 4.0 anticipated Fourth Industrial Revolution. This book serves the different issues and challenges in cloud resource management CRM techniques with proper propped solution for IT organizations. The book features chapters based on the characteristics of autonomic computing with its applicability in CRM. Each chapter features the techniques and analysis of each mechanism to make better resource management in cloud. Describes self-adaptable framework to find the best optimization techniques automatically based on issues and platforms; Presents a self-optimized model to find the optimal resource from the resource pool; Includes applications to diagnose and heal the system failure, and protect from malicious attacks. Electronic reproduction Switzerland Springer 2021 Available via World Wide Web through SpringerLink. Autonomic computing. Cloud computing. Industry 4.0. Electronic books. Choudhury, Tanupriya editor. Dewangan, Bhupesh Kumar editor. Tomar, Ravi editor. Singh, Bhupesh Kumar editor. Toe, Teoh Teik editor. Nhu, Nguyen Gia editor. Also available remotely for the University of the Philippines System via SpringerLink. Click here to access thru EZproxy https://link-springer-com.ezproxy.engglib.upd.edu.ph/book/10.1007/978-3-030-71756-8 Available for University of the Philippines System via SpringerLink. Click here to access https://doi.org/10.1007/978-3-030-71756-8 FO UPD DENG-II QA 76.9 A97 A98 2021eb Electronic Resource