عنوان

Cloud computing for geospatial big data analytics :

(Number (ISBN

3030033597

(Number (ISBN

3030033600

(Number (ISBN

9783030033590

(Number (ISBN

9783030033606

Erroneous ISBN

3030033589

Erroneous ISBN

9783030033583

Title Proper

Cloud computing for geospatial big data analytics :

General Material Designation

[Book]

Other Title Information

intelligent edge, fog and mist computing /

First Statement of Responsibility

Himansu Das [and three others], editors.

Place of Publication, Distribution, etc.

Cham, Switzerland :

Name of Publisher, Distributor, etc.

Springer,

Date of Publication, Distribution, etc.

[2019]

Specific Material Designation and Extent of Item

1 online resource (xii, 289 pages)

Series Title

Studies in Big Data,

Volume Designation

49

ISSN of Series

2197-6503 ;

Text of Note

Includes bibliographical references.

Text of Note

Big Data Scientific Workflows in the Cloud: Challenges and Future Prospects -- Trust Model based Scheduling of Stochastic Workflows in Cloud and Fog Computing -- Trust-Based Access control in Cloud Computing using Machine Learning -- Cloud Security Ontology (CSO) -- Cloud Based Supply Chain Networks -- Principles and Practices -- Parallel Computation of a MMDBM algorithm on GPU mining with Big data -- Data Analytics of IoT Enabled Smart Energy Meter in Smart Cities -- A New and Secure Intrusion Detecting system for Detection of Anomalies within the Big Data -- Geospatial Big Data, Analytics and IoT: Challenges, Applications and Potential -- Geocloud4GI: Cloud SDI Model for Geographical Indications Information Infrastructure Network -- The Role of Geospatial Technology with IoT for Precision Agriculture.

0

Text of Note

This book introduces research findings in cloud, edge, fog, and mist computing and discusses their applications in various fields using geospatial data. It addresses a number of problems of cloud computing and big data, such as scheduling and security issues using different techniques, which researchers from industry and academia have been attempting to solve in virtual environments. Some of these problems are of an intractable nature and so efficient technologies like fog, edge, and mist computing play a role in addressing these issues. By exploring emerging advances in cloud computing and big data analytics and their engineering applications, the book enables researchers to understand the mechanisms needed to implement cloud, edge, fog, and mist computing in their own endeavours.

Source for Acquisition/Subscription Address

Springer Nature

Stock Number

com.springer.onix.9783030033590

International Standard Book Number

9783030033583

International Standard Book Number

9783030033606

Big data.

Geographic information systems.

Geospatial data-- Data processing.

Artificial intelligence.

Big data.

Engineering.

Geographic information systems.

COM004000

UYQ

UYQ

Number

Edition

Class number

Book number

Das, Himansu.

Date of Transaction

20200823071157.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y