Machine Learning and Optimization Models for Optimization in Cloud (eBook, ePUB)

Redaktion: Gupta, Punit; Elngar, Ahmed A; Chakraborty, Sudeshna; Goyal, Mayank Kumar

• Format: ePub

Produktbeschreibung

Cloud computing has been a new trend in problem-solving and providing reliable computing platform for big and high computational tasks. This technique is used for business industries like banking, trading and many e-commerce businesses to accommodate high request rate, high availability for all time without stopping system and system failure.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 218
• Erscheinungstermin: 27. Februar 2022
• Englisch
• ISBN-13: 9781000542264
• Artikelnr.: 63448469

Autorenporträt

Punit Gupta is Associate Professor in the Department of Computer and Communication Engineering, Manipal University Jaipur, Jaipur, Rajasthan, India, from 2018. He received B.Tech. Degree in Computer Science and Engineering from Rajiv Gandhi Proudyogiki Vishwavidyalaya ,Madhya Pradesh in 2010. He received M.Tech. Degree in Computer Science and Engineering from Jaypee Institute of Information Technology (Deemed university) in 2012 On "Trust Management in Cloud computing" .He is a Gold Medalist in M-Tech. He has been awarded doctoral degree in Feb 2017. He has research experience in Internet-of-Things, Cloud Computing, and Distributed algorithms and authored more than 70 research papers in referred reputed journals and international conferences. He is currently serving as a Member of Computer Society of India (CSI), Member of IEEE, Professional member of ACM. HE has authored 15 books of springer, IGI and many more. Mayank K Goyal is an Assistant professor at Sharda University, India. He received M.Tech. Degree in Computer Science and Engineering from Jaypee Institute of Information Technology (Deemed university) in. He has been awarded doctoral degree in Feb 2019. He has research experience in Internet-of-Things, Cloud Computing, and Distributed algorithms and authored more than 50 research papers in referred reputed journals and international conferences. He is currently serving as a Member of Computer Society of India (CSI), Member of IEEE, Professional member of ACM. Sudeshna Chakraborty is an consolidation of 15 years industry academics experiences . Research Group Head and Associate Professor of Computer Science & Engineering Department at Sharda University,Greater Noida. She is PhD in Computer Science & Engineering with Neural Network & Semantic Web Engineering. She has acquired several awards as best teacher , research excellence award by Inst of Scholars, keynote speaker, for best Paper Presenter (IEI) , Organizing member of International conference , Reviewer committee, Session Chairs, Institute of Engineers ,InSc and ATAL AICTE sponsored FDP and other FDP as a speaker. she has filed 8 patent in the field of Robotic , solar energy & sensors , chaired IEEE conference in Paris ICACCE 2018 & keynote Speaker Springer conference in Tunisia ICS2A, Track Chair Smart Tecnologies and Artificial Intelligence spain. She is active member of professional society like IEEE (USA), IEI, IETA and Academic. Ahmed A Elngar is an assistant professor at Faculty of Computers & Artificial Intelligence, Beni-Suef University, Egypt. He is Director of Technological and Informatics Studies Center at Beni-Suef University. He is managing editor of Journal of Cyber Security and Information Management (JCIM). The professor completed his Doctor of Philosophy (Ph.D) of Computer Science, Faculty of Science from Al-Azhar University - Cairo, Egypt in 2016. He has over 30 research contributions on reputed journals and conferences. He also have 11 books published with reputed publishers.

Inhaltsangabe

1.Introduction to Virtualization in Cloud Computing 2. Machine Learning, Deep Learning based Optimization in Multilayered Cloud. 3.Neural Network based Resource Allocation Model in Multilayered Cloud. 4. Consideration For Availability And Reliability In Cloud Computing. 5. Neural Network and Deep Learning Based Resource Allocation Model For Multilayered Cloud. 6. Machine Learning Based Predictive Model To Improve Cloud Application Performance In Cloud SAAS. 7. Fault Aware Machine Learning and Deep Learning based Algorithm for Cloud Architecture. 8.Energy Efficient VM Placement Using Back Propagation Neural Network and Genetic Algorithm. 9. Meta-Heuristic Algorithm for Power Efficiency in Cloud. 10.Intelligent Scalable Algorithm for Resource Efficiency in Cloud.