MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03202nam a2200361 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
CSPC |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20231123223111.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
191211s2020 cau 000 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2019956883 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780128197790 |
| Qualifying information |
(paperback) |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
DLC |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
DLC |
| Modifying agency |
CSPC |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
pcc |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA76.9.C65 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
003.3 |
| Item number |
Sy877 |
| Edition number |
23 |
| 245 00 - TITLE STATEMENT |
|---|
| Title |
Systems simulation and modeling for cloud computing and big data applications / |
| Statement of responsibility, etc. |
Dinesh Peter and Steven Fernandes, volume editors. |
| 263 ## - PROJECTED PUBLICATION DATE |
|---|
| Projected publication date |
2003 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
San Diego, California : |
| Name of producer, publisher, distributor, manufacturer |
Academic Press, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2020. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xv, 165 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm. |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
unmediated |
| Media type code |
n |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
volume |
| Carrier type code |
nc |
| Source |
rdacarrier |
| 490 0# - SERIES STATEMENT |
|---|
| Series statement |
Advances in ubiquitous sensing applications for healthcare, |
| International Standard Serial Number |
25891014 ; |
| Volume/sequential designation |
10 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references and index. |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Differential color harmony: a robust approach for extracting harmonic color features and perceiving aesthetics in a large image dataset -- Physiological parameter measurement using wearable sensors and cloud computing -- Social media data analytics using feature engineering -- A novel framework for quality care assisting chronically impaired patients with ubiquitous computing and ambient intelligence technologies -- Dynamic and static system modeling with simulation of an eco-friendly smart lighting system -- Predictive analysis of diabetic women patients using R -- IoT based smart mirror for health monitoring -- Discovering human influenza virus using ensemble learning -- Mining and monitoring human activity patterns in smart environment-based healthcare systems -- Early detection of cognitive impairment od elders using wearable sensors |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
"Systems Simulation and Modelling for Cloud Computing and Big Data Applications provides readers with the most current approaches to solving problems through the use of models and simulations, presenting SSM based approaches to performance testing and benchmarking that offer significant advantages. For example, multiple big data and cloud application developers and researchers can perform tests in a controllable and repeatable manner. Inspired by the need to analyze the performance of different big data processing and cloud frameworks, researchers have introduced several benchmarks, including BigDataBench, BigBench, HiBench, PigMix, CloudSuite and GridMix, which are all covered in this book. Despite the substantial progress, the research community still needs a holistic, comprehensive big data SSM to use in almost every scientific and engineering discipline involving multidisciplinary research. SSM develops frameworks that are applicable across disciplines to develop benchmarking tools that are useful in solutions development"-- |
| Assigning source |
Provided by publisher. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Cloud computing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Big data. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Computer simulation. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Peter, J. Dinesh, |
| Relator term |
editor. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Fernandes, Steven, |
| Relator term |
editor. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
| Classification part |
003.3 |
| Item part |
Sy877 |
| Call number prefix |
GRD |
| Call number suffix |
2020 |
| Suppress in OPAC |
No |
