| 000 -LEADER |
|---|
| fixed length control field |
a |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
230420b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780367622565 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
004.6782 |
| Item number |
KUM |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Kumar, Jitendra |
| Relator term |
ed. |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Machine learning for cloud management |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Name of publisher, distributor, etc |
CRC Press, |
| Place of publication, distribution, etc |
Boca Raton : |
| Date of publication, distribution, etc |
2022 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xvi, 182 p.; |
| Other physical details |
ill., (charts), |
| Dimensions |
26 cm |
| 365 ## - TRADE PRICE |
|---|
| Price amount |
53.99 |
| Price type code |
GBP |
| Unit of pricing |
104.20 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
Machine Learning for Cloud Management explores cloud resource management through predictive modelling and virtual machine placement. The predictive approaches are developed using regression-based time series analysis and neural network models. The neural network-based models are primarily trained using evolutionary algorithms, and efficient virtual machine placement schemes are developed using multi-objective genetic algorithms. The book is ideal for researchers who are working in the domain of cloud computing. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Machine learning |
|
|---|
| Topical term or geographic name as entry element |
Cloud computing |
|
|---|
| Topical term or geographic name as entry element |
Auto regressive moving average |
|
|---|
| Topical term or geographic name as entry element |
Black-hole algorithm |
|
|---|
| Topical term or geographic name as entry element |
Differential evolution |
|
|---|
| Topical term or geographic name as entry element |
Error prevention scheme |
|
|---|
| Topical term or geographic name as entry element |
Mean squad error; |
|
|---|
| Topical term or geographic name as entry element |
Error range prediction |
|
|---|
| Topical term or geographic name as entry element |
Self directed learning |
|
|---|
| Topical term or geographic name as entry element |
Workload prediction |
|
|---|
| Topical term or geographic name as entry element |
Neural network |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Singh, Ashutosh Kumar |
| Relator term |
ed. |
|
|---|
| Personal name |
Mohan, Anand |
| Relator term |
ed. |
|
|---|
| Personal name |
Buyya, Rajkumar |
| Relator term |
ed. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
Books |