Machine Learning and Optimization Models for Optimization in Cloud. (Record no. 4988)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 05625cam a2200541Ki 4500 |
| 001 - CONTROL NUMBER | |
| control field | 9781003185376 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | FlBoTFG |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240213122826.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr cnu|||unuuu |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 211007s2022 xx eo 000 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | OCoLC-P |
| Language of cataloging | eng |
| Description conventions | rda |
| -- | pn |
| Transcribing agency | OCoLC-P |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781003185376 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1003185371 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9781032028200 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9781032028248 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781000542257 |
| Qualifying information | (electronic bk. : PDF) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1000542254 |
| Qualifying information | (electronic bk. : PDF) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781000542264 |
| Qualifying information | (electronic bk. : EPUB) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1000542262 |
| Qualifying information | (electronic bk. : EPUB) |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)1273727202 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC-P)1273727202 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | Q325.5 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM |
| Subject category code subdivision | 091000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM |
| Subject category code subdivision | 037000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UGC |
| Source | bicssc |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 |
| Edition number | 23 |
| 245 00 - TITLE STATEMENT | |
| Title | Machine Learning and Optimization Models for Optimization in Cloud. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | First edition. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | [Place of publication not identified] : |
| Name of producer, publisher, distributor, manufacturer | Chapman and Hall/CRC, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2022. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (232 pages). |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 490 0# - SERIES STATEMENT | |
| Series statement | Chapman & Hall/Distributed Computing and Intelligent Data Analytics Series |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 1. Introduction to Virtualization in Cloud ComputingVijay Kumar Sharma, Arjun Singh, Jaya Krishna R, Amit kumar bairwa2.Machine Learning, Deep Learning Based Optimization in Multilayered CloudPunit Gupta, Mayank Kumar Goyal 3. Neural Network Based Resource Allocation Model in Multilayered CloudRohit Verma, Punit Gupta4.Consideration For Availability And Reliability In Cloud ComputingDheeraj Rane, Vaishali Chourey, Rohit Verma, Punit Gupta5.Neural Network and Deep Learning Based Resource Allocation Model For Multilayered CloudSanjeet Bhagat, Punit Gupta6.Machine Learning Based Predictive Model To Improve Cloud Application Performance In Cloud SAAS.Falguni Sharma, Punit Gupta7.Fault Aware Machine Learning and Deep Learning Based Algorithm For Cloud Architecture.Deepika Agarwal, Sneha Agrawal, Punit Gupta8.Energy Efficient VM Placement Using Back Propagation Neural Network and Genetic Algorithm Oshin Sharma, Hemraj Saini, Geetanjali Rathee9. Meta-Heuristic Algorithm for Power Efficiency in CloudShally, Sanjay Kumar Sharma, Sunil Kumar10.Intelligent Scalable Algorithm for Resource Efficiency in CloudDr. Arjun Singh, Dr. Punit Gupta, Dr. Vijay Kumar Sharma, Tarun Jain, Surbhi Chauhan |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Machine Learning and Models for Optimization in Cloud's main aim is to meet the user requirement with high quality of service, least time for computation and high reliability. With increase in services migrating over cloud providers, the load over the cloud increases resulting in fault and various security failure in the system results in decreasing reliability. To fulfill this requirement cloud system uses intelligent metaheuristic and prediction algorithm to provide resources to the user in an efficient manner to manage the performance of the system and plan for upcoming requests. Intelligent algorithm helps the system to predict and find a suitable resource for a cloud environment in real time with least computational complexity taking into mind the system performance in under loaded and over loaded condition. This book discusses the future improvements and possible intelligent optimization models using artificial intelligence, deep learning techniques and other hybrid models to improve the performance of cloud. Various methods to enhance the directivity of cloud services have been presented which would enable cloud to provide better services, performance and quality of service to user. It talks about the next generation intelligent optimization and fault model to improve security and reliability of cloud. Key Features · Comprehensive introduction to cloud architecture and its service models. · Vulnerability and issues in cloud SAAS, PAAS and IAAS · Fundamental issues related to optimizing the performance in Cloud Computing using meta-heuristic, AI and ML models · Detailed study of optimization techniques, and fault management techniques in multi layered cloud. · Methods to improve reliability and fault in cloud using nature inspired algorithms and artificial neural network. · Advanced study of algorithms using artificial intelligence for optimization in cloud · Method for power efficient virtual machine placement using neural network in cloud · Method for task scheduling using metaheuristic algorithms. · A study of machine learning and deep learning inspired resource allocation algorithm for cloud in fault aware environment. This book aims to create a research interest & motivation for graduates degree or post-graduates. It aims to present a study on optimization algorithms in cloud for researchers to provide them with a glimpse of future of cloud computing in the era of artificial intelligence. |
| 588 ## - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | OCLC-licensed vendor bibliographic record. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Machine learning. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Cloud computing. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | COMPUTERS / Machine Theory |
| Source of heading or term | bisacsh |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Gupta, Punit. |
| Affiliation | Manipal Uni. Jaipur. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Goyal, Mayank Kumar |
| Affiliation | Sharda Uni. G. Noida |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Chakraborty, Sudeshna |
| Affiliation | Sharda University, Greater Noida |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Elngar, Ahmed A. |
| Affiliation | Beni-Suef Uni. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Taylor & Francis |
| Uniform Resource Identifier | <a href="https://www.taylorfrancis.com/books/9781003185376">https://www.taylorfrancis.com/books/9781003185376</a> |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | OCLC metadata license agreement |
| Uniform Resource Identifier | <a href="http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf">http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf</a> |
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